CRAN (and crantastic) updates this week
New packages
------------
* allan (1.0)
Alan Lee
http://crantastic.org/packages/allan
Automates Large Linear Analysis Model Fitting
* andrews (1.0)
Jaroslav Myslivec
http://crantastic.org/packages/andrews
Andrews curves for visualization of multidimensional data
* anesrake (0.3)
Josh Pasek
http://crantastic.org/packages/anesrake
This package provides a comprehensive system for selecting variables
and weighting data to match the specifications of the American
National Election Studies. The package includes methods for
identifying discrepant variables, raking data, and assessing the
effects of the raking algorithm. It also allows automated re-raking
if target variables fall outside identified bounds and allows
greater user specification than other available raking algorithms.
* aqp (0.88)
Dylan Beaudette
http://crantastic.org/packages/aqp
R package for working with and plotting soil profile data.
* aroma.cn (0.5.0)
Henrik Bengtsson
http://crantastic.org/packages/aroma-cn
Package for analysis of copy-number estimates obtained from various
platforms.
* benchmark (0.3)
Manuel J. A. Eugster
http://crantastic.org/packages/benchmark
The benchmark package provides a toolbox for setup, execution and
analysis of benchmark experiments. Main focus is the analysis of
data accumulating during the execution -- one primary objective is
the statistical correct computation of the candidate algorithms'
order.
* biganalytics (1.0.14)
Jay and Mike
http://crantastic.org/packages/biganalytics
This package extends the bigmemory package with various analytics.
Functions bigkmeans and binit may also be used with native R
objects. For tapply-like functions, the bigtabulate package may also
be helpful. For linear algebra support, see bigalgebra. For mutex
(locking) support for advanced shared-memory usage, see
synchronicity.
* bigtabulate (1.0.11)
Jay and Mike
http://crantastic.org/packages/bigtabulate
This package extends the bigmemory package with table- and split-like
support for big.matrix objects. The functions may also be used with
regular R matrices for improving speed and memory-efficiency.
* bild (1.0)
M. Helena Gon?alves
http://crantastic.org/packages/bild
bild performs logistic regression for binary longitudinal data,
allowing for serial dependence among observations from a given
individual and a random intercept term. Estimation is via
maximization of the exact likelihood of a suitably defined model.
Missing values and unbalanced data are allowed, with some
restrictions.
* bisoreg (1.0)
S. McKay Curtis
http://crantastic.org/packages/bisoreg
Bayesian monotonic regression function
* catR (1.0)
David Magis
http://crantastic.org/packages/catR
The catR package allows the generation of response patterns under
computerized adaptive testing (CAT) framework, with the choice of
several starting rules, stopping rules and ability estimators.
* cmaes (1.0-8)
Olaf Mersmann
http://crantastic.org/packages/cmaes
Single objective optimization using a CMA-ES.
* CompRandFld (0.1)
Simone Padoan
http://crantastic.org/packages/CompRandFld
The aim of this package is to collect a set of procedures for the
analysis of Random Fields by Composite Likelihood methods. Spatial
analysis often involves dealing with large dataset. Therefore even
simple studies may be too computationally demanding. Composite
likelihood based methods are emerging as useful tools for mitigating
such computational problems and show satisfactory results when
compared with other techniques such as, for example the tapering
method. Moreover, composite likelihood (and related quantities) have
some good properties similar to those of the standard likelihood.
* cxxPack (7.0.5)
Dominick Samperi
http://crantastic.org/packages/cxxPack
Builds on the Rcpp package/library by providing an application layer
library on the C++ side that includes models of fundamental R data
structures like data frames and time series. Includes an extensible
collection of tools like special functions and a financial date
library. Extends Sweave by permitting vignettes (or research
compendium docs) to include C++ code chunks. This package/library
might be used to develop R and C++ solutions in parallel, to speed
the transition from experimental R code to production C++ code, or
to develop rich research compendium documents following literate
statistical practice that have embedded R and C++ code chunks. There
is a package vignette that provides many examples.
* delftfews (0.1-0)
Mario Frasca
http://crantastic.org/packages/delftfews
a collection of timeseries sets handling functions used here at work
(Nelen en Schuurmans), initially for the Lizard Scripter.
* dicionariosIBGE (1.1)
Erick Fonseca
http://crantastic.org/packages/dicionariosIBGE
This package contains dictionaries for reading microdata from IBGE
(Brazilian Institute of Geography and Statistics) surveys PNAD, PME
and POF.
* distory (1.4)
John Chakerian
http://crantastic.org/packages/distory
Geodesic distance between phylogenetic trees and associated functions.
* doRedis (1.0.0)
B. W. Lewis
http://crantastic.org/packages/doRedis
A Redis parallel backend for the %dopar% function
* dynaTree (1.0)
Robert B. Gramacy
http://crantastic.org/packages/dynaTree
Inference by sequential Monte Carlo for dynamic tree regression and
classification models by particle learning (PL), with hooks provided
for sequential design and optimization. Illustrative examples from
the seminal dynamic trees paper are facilitated by demos in the
package; see demo(package="dynaTree")
* emoa (0.3-9)
Olaf Mersmann
http://crantastic.org/packages/emoa
Collection of building blocks for the design and analysis of
evolutionary multiobjective optimization algorithms.
* eVenn (1.01)
Nicolas Cagnard
http://crantastic.org/packages/eVenn
Compute a matrix combination of lists (from 2 to infinite) and plot
the results in a Venn diagram if (N<=4). It is possible to produce a
complete annotated file, merging the annotations of the compared
lists.
* expm (0.98-1)
Martin Maechler
http://crantastic.org/packages/expm
Simple package for computation of the matrix exponential and related
quantities.
* fCertificates (0.5-2)
Stefan Wilhelm
http://crantastic.org/packages/fCertificates
Collection of pricing by duplication methods for popular structured
products ("Zertifikate")
* fdth (1.1-2)
Jose Claudio Faria
http://crantastic.org/packages/fdth
Perform frequency distribution tables, associated histograms and
poligons from vector, data.frame and matrix objects.
* fwdmsa (0.1)
Wobbe P. Zijlstra
http://crantastic.org/packages/fwdmsa
fwdmsa performs the Forward Search for Mokken scale analysis. It
detects outliers, it produces several types of diagnostic plots.
* gamlss.demo (4.0-3)
Mikis Stasinopoulos
http://crantastic.org/packages/gamlss-demo
Demos for gamlss.family distributions.
* genoPlotR (0.5)
Lionel Guy
http://crantastic.org/packages/genoPlotR
genoPlotR draws gene or genome maps and comparisons between these, in
a publication-grade manner. Starting from simple, common files, it
will draw postscript or pdf files that can be sent as such to
journals
* geofd (0.4.5)
Andres Perez
http://crantastic.org/packages/geofd
Prediction for function value spatial data using kriging based methods
* geophys (1.0-7)
Jonathan M. Lees
http://crantastic.org/packages/geophys
Geophysics, Continuum Mechanics, Mogi Model
* gridExtra (0.6)
baptiste
http://crantastic.org/packages/gridExtra
misc. functions
* gsc (0.1.0)
Charlotte Maia
http://crantastic.org/packages/gsc
A package for smoothing with shape constraints. This package is
incomplete.
* hda (0.1-8)
Gero Szepannek
http://crantastic.org/packages/hda
Functions to perform dimensionality reduction for classification if
the covariance matrices of the classes are unequal.
* hotspots (1.0.1)
Anthony Darrouzet-Nardi
http://crantastic.org/packages/hotspots
Calculates a hot spot cutoff and associated analyses for statistical
populations
* iCluster (1.2.0)
Ronglai Shen
http://crantastic.org/packages/iCluster
Integrative clustering of multiple genomic data types using a joint
latent variable model with application to breast and lung cancer
subtype analysis.
* kinfit (1.0)
Johannes Ranke
http://crantastic.org/packages/kinfit
Simple calculation routines based on the FOCUS Kinetics Report (2006)
* kml3d (0.1)
Christophe M. Genolini
http://crantastic.org/packages/kml3d
KmL3D is an implementation of k-means specificaly design to deal with
joint longitudinal data (longitudinal data on several variable). It
provide facilities to deal with missing value and propose a
graphical interphace for chosing the correct number of clusters.
* laeken (0.1.1)
Andreas Alfons
http://crantastic.org/packages/laeken
Calculate Laeken indicators for measuring social cohesion and apply
Pareto tail modeling to empirical income distributions (including
graphical tools).
* lavaan (0.3-1)
Yves Rosseel
http://crantastic.org/packages/lavaan
Fit a variety of latent variable models, including confirmatory factor
analysis, structural equation modeling and latent growth curve
models.
* lcmm (1.0)
Unknown
http://crantastic.org/packages/lcmm
This package provides functions for the estimation of latent class
mixed models using a maximum likelihood method
* leiv (1.0-1)
David Leonard
http://crantastic.org/packages/leiv
Estimate the slope and intercept of a bivariate linear relationship by
calculating a posterior density that is invariant to interchange and
scaling of the coordinates.
* limitplot (1.0)
Omar E. Olmedo
http://crantastic.org/packages/limitplot
Values below a specified limit of detection are stacked in rows in
order to reduce overplotting and create a clear graphical
representation of your data.
* list (1.0)
Graeme Blair
http://crantastic.org/packages/list
list is a publicly available R package that allows researchers to
conduct a multivariate statistical analysis for the item count
technique. This survey methodology is also known as the list
experiment or the unmatched count technique is an alternative to the
commonly used randomized response method. The package implements
the methods described in Imai (2010).
* lossDev (0.9.3)
Christopher W. Laws
http://crantastic.org/packages/lossDev
Loss Development for Insurance Triangles
* lqa (1.0-2)
Jan Ulbricht
http://crantastic.org/packages/lqa
This package provides some basic infrastructure and tools to fit
Generalized Linear Models (GLMs) via penalized likelihood inference.
Estimating procedures already implemented are the LQA algorithm
(that is where its name come from), P-IRLS, RidgeBoost, GBlockBoost
and ForwardBoost.
* magnets (0.1)
Hai Qian
http://crantastic.org/packages/magnets
Given positions and other properties of a series of micro-magnet
spins, we can simulate the evolution of the system under the
influence of external field or fixed external magnets.
* mclogit (0.2-2)
Martin Elff
http://crantastic.org/packages/mclogit
This packages provides a function to estimate parameters for the mixed
conditional logit model, or conditional logit with random effects.
The current implementation is limited to random intercepts and to
the PQL technique, mainly appropriate for large clusters.
* mcmcplots (0.1)
S. McKay Curtis
http://crantastic.org/packages/mcmcplots
MCMC plots
* micEconCES (0.6-6)
Arne Henningsen
http://crantastic.org/packages/micEconCES
Tools for economic analysis and economic modelling with a Constant
Elasticity of Scale (CES) function
* micEconSNQP (0.6-2)
Arne Henningsen
http://crantastic.org/packages/micEconSNQP
Production analysis with the Symmetric Normalized Quadratic (SNQ)
profit function
* migui (0.00-08)
Yu-Sung Su
http://crantastic.org/packages/migui
Graphical User Interface of the mi Package
* missMDA (1.0)
Francois Husson
http://crantastic.org/packages/missMDA
Imputation of incomplete continuous or categorical datasets; Missing
values are imputed with a principal component analysis (PCA) or a
multiple correspondence analysis (MCA) model; Perform multiple
imputation with and in PCA
* mixsmsn (0.2-3)
Marcos Prates
http://crantastic.org/packages/mixsmsn
Functions to fit finite mixture of scale mixture of skew-normal
(FM-SMSN) distributions.
* mkin (0.7-6)
Johannes Ranke
http://crantastic.org/packages/mkin
Calculation routines based on the FOCUS Kinetics Report (2006).
Includes a function for conveniently defining differential equation
models, choice of the optimisation methods made available by the FME
package (default is a Levenberg-Marquardt variant).
* mlogitBMA (0.1-2)
Hana Sevcikova
http://crantastic.org/packages/mlogitBMA
Provides a modified function bic.glm of the BMA package that can be
applied to multinomial logit (MNL) data. The data is converted to
binary logit using the Begg & Gray approximation. The package also
contains functions for maximum likelihood estimation of MNL.
* mmap (0.5-5)
Jeffrey A. Ryan
http://crantastic.org/packages/mmap
R interface to POSIX mmap
* MMST (0.6-1)
Keith Halbert
http://crantastic.org/packages/MMST
The datasets from Modern Multivariate Statistical Techniques by Alan
Julian Izenman are contained in this package. The documentation
descriptions show the page numbers of references to the data set
within the text. See the text for detailed descriptions of the
datasets. Also included in this package is a function for exporting
these datasets en masse.
* MOCCA (1.0)
Hans Kestler
http://crantastic.org/packages/MOCCA
This package provides methods to analyze cluster alternatives based on
multi-objective optimization of cluster validation indices.
* mondate (0.9.5.1)
Dan Murphy
http://crantastic.org/packages/mondate
Keep track of dates in month units. Perform date arithmetic in
"months" (default), "years", and
"days". Enable dates to have
"shape" (non NULL dim).
* monmlp (1.0)
Alex J. Cannon
http://crantastic.org/packages/monmlp
Multi-layer perceptron neural network with partial monotonicity
constraints
* mugnet (0.08.1)
Nikolay Balov
http://crantastic.org/packages/mugnet
A package that models continuous multivariate data via directional
acyclic graphs and provides inference based on the frequentist
approach
* multisensi (1.0-3)
Herve MONOD
http://crantastic.org/packages/multisensi
An R library for performing sensitivity analysis on a model with
multivariate output
* munfold (0.2)
Martin Elff
http://crantastic.org/packages/munfold
This package provides Schoenemans algorithm for metric
multidimensional unfolding and Procrustes rotation of unfolding
results.
* mvngGrAd (0.1.0)
Unknown
http://crantastic.org/packages/mvngGrAd
Package for moving grid adjustment in plant breeding field trials.
* nacopula (0.4-2)
Martin Maechler
http://crantastic.org/packages/nacopula
An R package for nested Archimedean copulas, providing a procedure for
computing function values, characteristics such as Kendall's tau and
tail dependence coefficients, as well as sampling algorithms for
generating random variates.
* NCBI2R (1.3)
Scott Melville
http://crantastic.org/packages/NCBI2R
NCBI2R is a R package that annotates lists of SNPs and/or genes, with
current information from NCBI, including LD information. Functions
are provided that with one command will provide annotation of the
results from genome wide association studies to provide a broader
context of their meaning. Other functions enable comparisons between
a user's GWA results, and candidate snp/gene lists that are created
from keywords, such as specific diseases, phenotypes or gene
ontology terms. Commands are simple to follow and designed to work
with R objects to integrate into existing workflows. The output
produces text fields and weblinks to more information for items such
as: gene descriptions, nucleotide positions, OMIM, pathways,
phenotypes, and lists of interacting and neighboring genes.
Annotation can then be used in R for further analysis, or the
objects can be customized for use in spreadsheet programs or web
browsers. The NCBI2R package was designed to allow those performing
genome analysis to produce output that could easily be understood by
a person not familiar with R. Please see
http://drop.io/NCBI2R_package for more information. The internet is
required for almost all of these functions.
* neldermead (1.0-3)
Sebastien Bihorel
http://crantastic.org/packages/neldermead
Provides several direct search optimization algorithms based on the
simplex method. The provided algorithms are direct search
algorithms, i.e. algorithms which do not use the derivative of the
cost function. They are based on the update of a simplex. The
following algorithms are available: the fixed shape simplex method
of Spendley, Hext and Himsworth (unconstrained optimization with a
fixed shape simplex), the variable shape simplex method of Nelder
and Mead (unconstrained optimization with a variable shape simplex
made), and Box's complex method (constrained optimization with a
variable shape simplex).
* nga (1.0)
James Kaklamanos
http://crantastic.org/packages/nga
This package implements the earthquake ground motion prediction
equations developed as part of the Next Generation Attenuation of
Ground Motions (NGA) project coordinated by the Pacific Earthquake
Engineering Research Center (PEER) in 2008. The models implemented
in this package are AS08 (Abrahamson & Silva, 2008), BA08 (Boore
&
Atkinson, 2008), CB08 (Campbell & Bozorgnia, 2008), and CY08 (Chiou
& Youngs, 2008). This numerical implementation has been validated
by comparing the results for 128,000 test cases against the results
obtained using the Fortran implementation composed by David M. Boore
and Kenneth W. Campbell.
* nlADG (0.1-0)
Gruber, Lutz F.
http://crantastic.org/packages/nlADG
Regression in the Normal Linear ADG Model
* nonparaeff (0.5-1)
Dong-hyun Oh
http://crantastic.org/packages/nonparaeff
This package contains functions for measuring efficiency and
productivity of decision making units (DMUs) under the framework of
Data Envelopment Analysis (DEA) and its variations.
* nppbib (0.6-0)
David Allingham
http://crantastic.org/packages/nppbib
Implements a nonparametric statistical test for rank or score data
from partially-balanced incomplete block-design experiments.
* npRmpi (0.40-2)
Jeffrey S. Racine
http://crantastic.org/packages/npRmpi
This package provides a variety of nonparametric (and semiparametric)
kernel methods that seamlessly handle a mix of continuous,
unordered, and ordered factor data types. This package is a parallel
implementation of the np package based on the MPI specification that
incorporates the Rmpi package (Hao Yu <hyu at stats.uwo.ca>)
with minor
modifications and we are extremely grateful to Hao Yu for his
contributions to the R community. We would like to gratefully
acknowledge support from the Natural Sciences and Engineering
Research Council of Canada (NSERC:www.nserc.ca), the Social Sciences
and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and
the Shared Hierarchical Academic Research Computing Network
(SHARCNET:www.sharcnet.ca).
* ofp (0.5.0)
Charlotte Maia
http://crantastic.org/packages/ofp
A package for object oriented R programming, with a dual focus on
enhanced S3 programming and object-functional programming. This
package is experimental.
* optimbase (1.0-3)
Sebastien Bihorel
http://crantastic.org/packages/optimbase
Provides a set of commands to manage an abstract optimization method.
The goal is to provide a building block for a large class of
specialized optimization methods. This package manages: the number
of variables, the minimum and maximum bounds, the number of non
linear inequality constraints, the cost function, the logging
system, various termination criteria, etc...
* optimsimplex (1.0-2)
Sebastien Bihorel
http://crantastic.org/packages/optimsimplex
Provides a building block for optimization algorithms based on a
simplex. The optimsimplex package may be used in the following
optimization methods: the simplex method of Spendley et al., the
method of Nelder and Mead, Box's algorithm for constrained
optimization, the multi-dimensional search by Torczon, etc...
* pGLS (0.0-1)
Xianyun Mao
http://crantastic.org/packages/pGLS
Based on the Generalized Least Square model for comparative
Phylogenetics (ref).
* plgp (1.0)
Robert B. Gramacy
http://crantastic.org/packages/plgp
Sequential Monte Carlo inference for fully Bayesian Gaussian process
(GP) regression and classification models by particle learning (PL).
The sequential nature of inference and the active learning (AL)
hooks provided facilitate thrifty sequential design (by entropy) and
optimization (by improvement) for classification and regression
models, respectively. This package essentially provides a generic PL
interface, and functions (arguments to the interface) which
implement the GP models and AL heuristics. Functions for a special,
linked, regression/classification GP model and an integrated
expected conditional improvement (IECI) statistic is provides for
optimization in the presence of unknown constraints. See the
examples section of ?plgp and demo(package="plgp") for an
index of
examples
* pmlr (1.0)
Sarah Colby
http://crantastic.org/packages/pmlr
Extends the approach proposed by Firth (1993) for bias reduction of
MLEs in exponential family models to the multinomial logistic
regression model with general covariate types. Modification of the
logistic regression score function to remove first-order bias is
equivalent to penalizing the likelihood by the Jeffreys prior, and
yields penalized maximum likelihood estimates (PLEs) that always
exist. Hypothesis testing is conducted via likelihood ratio
statistics. Profile confidence intervals (CI) are constructed for
the PLEs.
* png (0.1-1)
Simon Urbanek
http://crantastic.org/packages/png
This package provides an easy and simple way to read, write and
display bitmap images stored in the PNG format. It can read and
write both files and in-memory raw vectors.
* poistweedie (1.0)
David Pechel Cactcha
http://crantastic.org/packages/poistweedie
Simulation of models Poisson-Tweedie.
* polysat (0.1)
Lindsay V. Clark
http://crantastic.org/packages/polysat
polysat is a collection of tools to handle microsatellite data of any
ploidy (and samples of mixed ploidy) where allele copy number is not
known in partially heterozygous genotypes. It can import and export
data in ABI GeneMapper, Structure, ATetra, Tetrasat/Tetra, GenoDive,
SPAGeDi, and binary presence/absence formats. It can calculate
pairwise differences between individuals using a stepwise mutation
model or infinite alleles model. It can assist the user in
estimating the ploidy of samples, and lastly it can estimate allele
frequencies in populations and calculate pairwise Fst values based
on those frequencies.
* popPK (1.01)
FDA Pharmacometrics
http://crantastic.org/packages/popPK
This package uses xpose4 to create standard graphs and tables for
NONMEM runs.
* ppMeasures (0.1)
David Diez
http://crantastic.org/packages/ppMeasures
The package focuses on distances and prototypes for point patterns.
There are three algorithms provided to compute spike-time distance,
and one of these algorithms is generalized to compute variations of
spike-time distance. Multiple algorithms are also provided to
estimate prototypes of collections of point patterns.
* pROC (1.2.1)
Xavier Robin
http://crantastic.org/packages/pROC
Tools for visualizing, smoothing and comparing receiver operating
characteristic (ROC curves). (Partial) area under the curve (AUC)
can be compared with statistical tests based on U-statistics or
bootstrap. Confidence intervals can be computed for (p)AUC or ROC
curves.
* ProDenICA (1.0)
Trevor Hastie
http://crantastic.org/packages/ProDenICA
A direct and flexible method for estimating an ICA model. This
approach estimates the densities for each component directly via a
tilted gaussian. The tilt functions are estimated via a GAM poisson
model. Details can be found in "Elements of Statistical Learning
(2nd Edition)" Section 14.7.4
* ptinpoly (1.4)
Jose M. Maisog
http://crantastic.org/packages/ptinpoly
This library provides a function 'pip3d', which tests whether a point
in 3D space is within, exactly on, or outside an enclosed surface
defined by a triangular mesh.
* qrnn (1.0)
Alex J. Cannon
http://crantastic.org/packages/qrnn
Fit a quantile regression neural network with optional left censoring
using a variant of the finite smoothing algorithm.
* qualityTools (1.0)
Thomas Roth
http://crantastic.org/packages/qualityTools
This is a package for teaching statistical methods in the field of
Quality Science. It covers distribution fitting, process capability,
Gage R&R, factorial, fractional factorial design as well as response
surface methods including the use of desirability functions.
* quaternions (0.2)
K. Gerald van den Boogaart
http://crantastic.org/packages/quaternions
The skew body of quaternions is an usefull tool to handle geometric
problems. This package allows to handle quaternions with R nearly as
simple as real or complex numbers.
* R4dfp (0.1-9)
Kevin P. Barry
http://crantastic.org/packages/R4dfp
This package provides an R interface with 2-part 4dfp MRI images
(.4dfp.ifh and .4dfp.img files.)
* raster (1.2-6)
Robert J. Hijmans
http://crantastic.org/packages/raster
Package for reading, writing, and manipulating raster (grid) type
geographic (spatial) data
* RcmdrPlugin.doex (0.1.0)
Erin Hodgess
http://crantastic.org/packages/RcmdrPlugin-doex
This package provides an Rcmdr "plug-in" based on the Design
of
experiments class Stat 4309
* remix (0.5-2)
David Hajage
http://crantastic.org/packages/remix
remix provides remix, a quick and easy function for describing
datasets. It can be view as a mix of cast (in package reshape) and
summary.formula (in package Hmisc).
* Renext (1.0-0)
IRSN
http://crantastic.org/packages/Renext
R package dedicated to some Extreme values problems and allowing the
use of the so-called "renewal method" which is popular among
french-speaking hydrologists.
* rgp (0.1-0)
Oliver Flasch
http://crantastic.org/packages/rgp
RGP is a simple modular Genetic Programming (GP) system build in pure
R. In addition to general GP tasks, the system supports Symbolic
Regression by GP through the familiar R model formula interface. GP
individuals are represented as R expressions, an (optional) type
system enables domain-specific function sets containing functions of
diverse domain- and range types. A basic set of genetic operators
for variation (mutation and crossover) and selection is provided.
* RMC (0.1)
Complain to
http://crantastic.org/packages/RMC
Functions for fitting, diagnosing and predicting from a class of
Markov models.
* RNCBI (0.9)
Martin Schumann
http://crantastic.org/packages/RNCBI
This is an alpha release. Retrieve information from the ncbi web
service.
* RNCBIAxis2Libs (0.9)
Martin Schumann
http://crantastic.org/packages/RNCBIAxis2Libs
Provides selected Apache Axis2 libraries for the use with the RNCBI
package. For license information see the inst/java directory.
* RNCBIEUtilsLibs (0.9)
Martin Schumann
http://crantastic.org/packages/RNCBIEUtilsLibs
Provides the libraries of the EUtils operations for the RNCBI package.
* rocc (1.0)
Martin Lauss
http://crantastic.org/packages/rocc
Functions for a classification method based on receiver operating
characteristics (ROC). Briefly, features are selected according to
their ranked AUC value in the training set. The selected features
are merged by the mean value to form a metagene. The samples are
ranked by their metagene value and the metagene threshold that has
the highest accuracy in splitting the training samples is
determined. A new sample is classified by its metagene value
relative to the threshold. In the first place, the package is aimed
at two class problems in gene expression data, but might also apply
to other problems.
* RODM (1.0-2)
Pablo Tamayo
http://crantastic.org/packages/RODM
This package implements an interface to Oracle Data Mining (ODM). It
provides an ideal environment for rapid development of demos and
proof of concept data mining studies. It facilitates the prototyping
of vertical applications and makes ODM and the RDBMS environment
easily accessible to statisticians and data analysts familiar with R
but not fluent in SQL or familiar with the database environment. It
also facilitates the benchmarking and testing of ODM functionality
including the production of summary statistics, performance metrics
and graphics. It enables the scripting and control of production
data mining methodologies from a high-level environment. Oracle Data
Mining (ODM) is an option of Oracle Relational Database Management
System (RDBMS) Enterprise Edition (EE). It contains several data
mining and data analysis algorithms for classification, prediction,
regression, clustering, associations, feature selection, anomaly
detection, feature extraction, and specialized analytics. It
provides means for the creation, management and operational
deployment of data mining models inside the database environment.
For more information consult the entry for "Oracle Data
Mining" in
Wikipedia (en.wikipedia.org).
* rredis (1.3)
B. W. Lewis
http://crantastic.org/packages/rredis
The 'redis' package provides a simple R client for the Redis
persistent key-value database available from
http://code.google.com/p/redis/.
* rrules (0.1-0)
Oliver Flasch
http://crantastic.org/packages/rrules
Apply a set of transformation rules to any R function, call or
expression.
* RSearchYJ (0.0.1)
Yohei Sato
http://crantastic.org/packages/RSearchYJ
Search with Yahoo Japan
* rseedcalc (1.0)
Kevin Wright
http://crantastic.org/packages/rseedcalc
Estimate the percentage of seeds containing GM traits.
* RSQLite.extfuns (0.0.1)
Seth Falcon
http://crantastic.org/packages/RSQLite-extfuns
This package uses SQLite's loadable extension feature to provide a
number of additional SQL functions and aggregates. The package is a
wrapper of extension functions written by Liam Healy and made
available through the SQLite website
(http://www.sqlite.org/contrib). Math: acos, asin, atan, atn2,
atan2, acosh, asinh, atanh, difference, degrees, radians, cos, sin,
tan, cot, cosh, sinh, tanh, coth, exp, log, log10, power, sign,
sqrt, square, ceil, floor, pi. String: replicate, charindex,
leftstr, rightstr, ltrim, rtrim, trim, replace, reverse, proper,
padl, padr, padc, strfilter. Aggregate: stdev, variance, mode,
median, lower_quartile, upper_quartile.
* RWebMA (0.0.2)
Yohei Sato
http://crantastic.org/packages/RWebMA
This package is an interface for R of WebMA of Yahoo! Japan.
http://developer.yahoo.co.jp/webapi/jlp/ma/v1/parse.html
* samplingbook (1.0)
Juliane Manitz
http://crantastic.org/packages/samplingbook
Sampling procedures from the book 'Stichproben. Methoden und
praktische Umsetzung mit R' by Goeran Kauermann and Helmut
Kuechenhoff (2010)
* SAPP (1.0.0)
Masami Saga
http://crantastic.org/packages/SAPP
Functions for statistical analysis of ponit processes
* scaRabee (1.0-2)
Sebastien Bihorel
http://crantastic.org/packages/scaRabee
scaRabee is a port of the Scarabee toolkit originally written as a
Matlab-based application. It provides a framework for simulation and
optimization of pharmacokinetic-pharmacodynamic models in a naive
average/pooling settings. It is built on top of the neldermead
package, which provides the direct search algorithm proposed by
Nelder and Mead for model optimization.
* secr (1.4.0)
Murray Efford
http://crantastic.org/packages/secr
Estimate animal population density with capture--recapture data from
an array of passive detectors (traps). Models incorporating
distance-dependent detection are fitted by maximizing the
likelihood. Tools are included for data manipulation and model
selection.
* semPLS (0.8-1)
Armin Monecke
http://crantastic.org/packages/semPLS
Fits structural equation models using partial least squares (PLS). The
PLS approach is referred to as 'soft-modeling' technique requiring
no distributional assumptions on the observed data.
* sensitivityPStrat (1.0)
Charles Dupont
http://crantastic.org/packages/sensitivityPStrat
This package provides functions to perform principal stratification
sensitivity analyses on datasets.
* seqRFLP (1.0.0)
Qiong Ding
http://crantastic.org/packages/seqRFLP
This package includes functions for handling DNA sequences, especially
simulated RFLP and TRFLP pattern based on selected restriction
enzyme and DNA sequences.
* SHIP (1.0.1)
Vincent Guillemot
http://crantastic.org/packages/SHIP
The SHIP-package allows the estimation of various types of shrinkage
covariance matrices. These types differ in terms of the so-called
covariance target (to be chosen by the user), the highly structured
matrix which the standard unbiased sample covariance matrix is
shrunken towards and which optionally incorporates prior biological
knowledge extracted from the database KEGG. The shrinkage intensity
is obtained via an analytical procedure.
* sifds (0.9)
Michael Lundholm
http://crantastic.org/packages/sifds
A data set with Swedish inflation forecasts and inflation outcome
1999:Q2-2005:Q2.
* simexaft (1.0.2)
Juan Xiong
http://crantastic.org/packages/simexaft
Implement of the Simulation-Extrapolation (SIMEX) algorithm for the
accelerated failure time (AFT) with covariates subject to
measurement error.
* smd.and.more (1.3-0)
David W. Gerbing
http://crantastic.org/packages/smd-and-more
The function smd.t.test enhances the output of the independent groups
t-test. This output includes descriptive and inferential statistics,
including the standardized mean difference or Cohen's d. The
smd.t.test function also introduces the ODDSMD plot, which displays
the Overlapping Density Distributions of the two groups as well as a
visual display of the mean difference and Standardized Mean
Difference. Other functions provide for the t-test from descriptive
statistics, color plotting, a calibrated power curve plotted with
colors from one statement, and regression analysis from one
statement. To obtain a one statement read and initial processing of
csv data, use the function rad, for Read, Attach and Display. The
parallel function out writes the csv file. The function help.me
provides a help system that suggests specific analyses by providing
the name of the relevant functions for a specific topic.
* soil.spec (1.3)
Thomas Terhoeven-Urselmans
http://crantastic.org/packages/soil-spec
This package combines existing R functions with new code for soil
spectral analysis. The result is an easy to use tool for (i)
importing of spc-files, (ii) principal component analysis, (iii)
sample selection using the Kennard-Stone algorithm, (iv) spectral
transformation and (v) comparison of regression methods.
* spaa (0.1.1)
Jinlong Zhang
http://crantastic.org/packages/spaa
Package for species association analysis and plotting, including
species matrix preparation from raw species list, lower matrix
plotting, simple network plotting etc.
* sparkTable (0.1.1)
Alexander Kowarik
http://crantastic.org/packages/sparkTable
Create Sparklines and graphical tables for documents and websites
* sparr (0.1-7)
T.M.D.
http://crantastic.org/packages/sparr
Provides functions to estimate kernel-smoothed relative risk functions
and perform subsequent inference.
* spef (0.1-3)
Xiaojing Wang
http://crantastic.org/packages/spef
Functions for fitting semiparametric regression models for panel count
survival data.
* spikeslab (1.1.0)
Udaya B. Kogalur
http://crantastic.org/packages/spikeslab
Spike and slab for prediction and variable selection in linear
regression models. Uses a generalized elastic net for variable
selection.
* SPOT (0.1.888)
J. Ziegenhirt
http://crantastic.org/packages/SPOT
R-Package for Sequential Parameter Optimization Toolbox
* SSSR (1.0.1)
Mehmet Hakan Satman
http://crantastic.org/packages/SSSR
This package is for using R as a server side scripting language
* steepness (0.1)
David Leiva
http://crantastic.org/packages/steepness
steepness is a package that computes steepness as a property of
dominance hierarchies. Steepness is defined as the absolute slope of
the straight line fitted to the normalized David's scores. The
normalized David's scores can be obtained on the basis of dyadic
dominance indices corrected for chance. Given an observed
sociomatrix, it computes hierarchy's steepness and estimates
statistical significance by means of a randomization test.
* StMoSim (1.1)
Matthias Salvisberg
http://crantastic.org/packages/StMoSim
With this package you can simulate several lines into the QQnorm-Plot
and the TA-plot under Gaussian distribution
* stratification (2.0-2)
Sophie Baillargeon
http://crantastic.org/packages/stratification
This package performs univariate stratification of survey populations.
The main function implements a generalization of the
Lavallee-Hidiroglou method of stratum construction. The generalized
method takes into account a discrepancy between the stratification
variable and the survey variable. The determination of the optimal
boundaries also incorporate, if desired, an anticipated
non-response, a take-all stratum for large units, and a take-none
stratum for small units. The well known cumulative root frequency
rule of Dalenius and Hodges and the geometric rule of Gunning and
Horgan are also implemented.
* stratigraph (0.61)
Walton A. Green
http://crantastic.org/packages/stratigraph
A collection of tools for plotting and analyzing paleontological and
geological data distributed through through time in stratigraphic
cores or sections. Includes some miscellaneous functions for
handling other kinds of palaeontological and paleoecological data.
* survPresmooth (1.0)
Ignacio Lopez-de-Ullibarri
http://crantastic.org/packages/survPresmooth
Compute presmoothed versions of estimators of survival, density,
cumulative and non-cumulative hazard functions with right-censored
survival data
* synchronicity (1.0.9)
Jay and Mike
http://crantastic.org/packages/synchronicity
This package provides Boost mutex functionality in R.
* TANOVA (1.0.0)
Weihong Xu
http://crantastic.org/packages/TANOVA
Functions for performing analysis of variance on time course
microarray data
* tclust (1.0-3)
Heinrich Fritz
http://crantastic.org/packages/tclust
Robust Trimmed clustering
* tgram (0.1)
Marcelino de la Cruz Rot
http://crantastic.org/packages/tgram
Functions to compute and plot tracheidograms
* ThreeGroups (0.1)
Holger L. Kern
http://crantastic.org/packages/ThreeGroups
This package implements the Maximum Likelihood estimator for
three-group designs proposed by Gerber, Green, Kaplan, and Kern
(2010).
* tourrGui (0.1)
Bei Huang
http://crantastic.org/packages/tourrGui
The GUI allows user to control the tour by checkboxes for the variable
selection, slider for the speed, and toggle boxes for pause.
* tpsDesign (1.0)
Takumi Saegusa
http://crantastic.org/packages/tpsDesign
The tpsDesign serves for planning a two-phase design and a
case-control design. Functions in this packages provides Monte Carlo
based evaluation of operating characteristics such as powers for
estimators of the components of a logistic regression model.
* TreePar (1.0)
Tanja Stadler
http://crantastic.org/packages/TreePar
For a given phylogeny on present day data (e.g. species or viruses), a
likelihood method is provided where the maximum likelihood
speciation and extinction rates are estimated. The method accounts
for rate changes and mass extinction events: Time is split into
intervals, and in each interval, the rates can be different.
Throughout an interval, the rates stay constant. At the end of an
interval, a pre-defined fraction of the extant species becomes
extinct. No species becoming extinct is a rate shift event without
mass extinction. The method estimates the maximum likelihood
interval sizes, and the speciation and extinction rates in each
interval. Note that the method takes into account the whole
phylogeny, in particular it accounts for the "pull of the
present"
effect.
* trex (0.1)
Jason P. Sinnwell
http://crantastic.org/packages/trex
The first stage is screening to detect rare variants in only cases. If
the number of case-carriers of any rare variants exceeds a
user-specified threshold, then additional cases and controls are
genotyped for the detected variants and carrier status of these
variants are compared for all cases and controls in the second
stage. The package includes two main functions, trex for the exact
test and optimalDesign to determine potential two-stage designs
including an optimal design.
* triads (0.1)
Solomon Messing
http://crantastic.org/packages/triads
This program calculates the triad census positions of each node in a
graph object.
* TSAgg (0.1-8)
Jason Scott Lessels
http://crantastic.org/packages/TSAgg
Time series aggregation for incomplete time series data.
* twiddler (0.2-0)
Oliver Flasch
http://crantastic.org/packages/twiddler
Twiddler is an interactive tool that automatically creates a Tcl/Tk
GUI for manipulating variables in any R expression. See the
documentation of the function twiddle to get started.
* VecStatGraphs2D (1.1)
Juan Carlos Ruiz Cuetos
http://crantastic.org/packages/VecStatGraphs2D
This package performs a 2D statistical analysis, both numerical and
graphic, of a set of vectors. Since a vector has two components
(module and azimuth) vector analysis is performed in three stages:
modules are analyzed by means of linear statistics, azimuths are
analyzed by circular statistics, and the joint analysis of modules
and azimuths is done using density maps that allow detecting another
distribution properties (I.e. anisotropy) and outliers. Tests and
circular statistic parameters have associated a full range of
graphing: histograms, maps of distributions, point maps, vector
maps, density maps, distribution modules and azimuths.
* VHDClassification (0.2)
Unknown
http://crantastic.org/packages/VHDClassification
This package provides an implementation of Linear disciminant analysis
and quadratic discriminant analysis that works fine in very high
dimension (when there are many more variables than observations).
* waterfall (0.9.9.20100522)
James P. Howard, II
http://crantastic.org/packages/waterfall
This package provides both traditional and lattice graphics
implementations of waterfall charts.
* waveband (4.5)
Guy Nason
http://crantastic.org/packages/waveband
Computes Bayesian wavelet shrinkage credible intervals
* WaveCD (1.0)
Unknown
http://crantastic.org/packages/WaveCD
Detects change points
* WDI (0.1.1)
Vincent Arel-Bundock
http://crantastic.org/packages/WDI
Search and download data from the World Banks' World Development
Indicators
* webvis (0.0.1)
Shane Conway
http://crantastic.org/packages/webvis
Uses Protovis to provide web graphics for R (exposes most low-level
functions). Package is still under active development and shouldn't
be considered stable until version 0.1. Currently uses a web
browser to process JavaScript, although future version will process
JavaScript directly and return the SVG output. Also does not
properly support discrete labels (e.g. with histograms) or
statistical functions. See website for more details.
* wvioplot (0.1)
Solomon Messing
http://crantastic.org/packages/wvioplot
A violin plot is a combination of a box plot and a kernel density
plot.
Updated packages
----------------
acepack (1.3-3.0), amba (0.3.0), amei (1.0-3), amer (0.6.7), anacor
(1.0-1), ape (2.5-3), archetypes (2.0-1), arm (1.3-05),
aroma.affymetrix (1.6.0), aroma.core (1.6.0), asbio (0.3-10), ascii
(0.7), automap (1.0-7), bayesmix (0.7-1), bbmle (0.9.5.1), bcp
(2.2.0), bear (2.5.3), bibtex (0.2-0), bifactorial (1.4.4), bigmemory
(4.2.3), binGroup (1.0-5), biOps (0.2.1.1), bipartite (1.12), blighty
(3.1-0), bnlearn (2.1.1), bootruin (1.0-156), brglm (0.5-5),
cairoDevice (2.13), caret (4.43), catspec (0.95), cgh (1.0-7.1),
cluster (1.13.1), clusterSim (0.38-1), cmprskContin (1.6),
coarseDataTools (0.2), coin (1.0-12), copula (0.9-7), corrplot (0.30),
cshapes (0.2-4), ctv (0.6-0), cudaBayesreg (0.3-6), dagR (1.1.1),
data.table (1.4.1), dclone (1.1-0), ddesolve (1.04), denstrip (1.5),
depmixS4 (0.9-0), DiceKriging (1.1), difR (3.1), distr (2.2.3),
diveMove (1.0), dlnm (1.2.4), doBy (4.0.6), doMC (1.2.1), dplR
(1.3.5), drc (1.9-3), dti (0.9-2), eba (1.5-7), elrm (1.2.1), emplik2
(1.10), ensembleBMA (4.5), epicalc (2.11.1.0), epitools (0.5-6), eqtl
(1.1), eRm (0.13-0), exact2x2 (1.0-1), exactci (1.1-0), extremevalues
(2.1), fame (2.9), favir (0.4-1), fda (2.2.2), fields (6.3),
fingerprint (3.3.1), fitdistrplus (0.1-3), flexmix (2.2-7), forecast
(2.05), forensim (1.1-5), formula.tools (0.20.0), fossil (0.3.0),
frailtypack (2.2-14), FrF2 (1.1-3), frontier (0.996-8), ftsa (1.9),
FunNet (1.00-9), gamlss (4.0-0), gamlss.add (4.0-0), gamlss.cens
(4.0.0), gamlss.data (4.0-0), gamlss.dist (4.0-0), gamlss.mx (4.0-0),
gamlss.nl (4.0-0), gamlss.tr (4.0-0), gamlss.util (4.0-0), gap
(1.0-23), gbm (1.6-3.1), gclus (1.3), gdata (2.8.0), geoR (1.6-28),
geoRglm (0.8-28), geosphere (1.2-4), geozoo (0.4.1), GExMap (1.1),
ggplot2 (0.8.8), ghyp (1.5.3), glmnet (1.4), gmm (1.3-2), gplots
(2.8.0), gputools (0.21), gRain (0.8.5), grImport (0.6-1), gss
(1.1-5), gsubfn (0.5-3), gtools (2.6.2), gWidgets (0.0-41),
gWidgetsRGtk2 (0.0-67), gWidgetsrJava (0.0-19), gWidgetstcltk
(0.0-38), gWidgetsWWW (0.0-19), hapassoc (1.2-4), hash (2.0.1), hergm
(1.2-5), hglm (1.1.1), highlight (0.2-1), Hmisc (3.8-2), hopach
(2.9.1), ibr (1.2.2), identity (0.2-1), ifultools (1.0-7), imprProbEst
(1.0.1), impute (1.22.0), imputeMDR (1.1), inline (0.3.5), inlinedocs
(1.1), intamapInteractive (1.0-9), intervals (0.13.2), introgress
(1.2.3), ipw (1.0-5), isa2 (0.2.1), ismev (1.35), isopam (0.9-8),
kernlab (0.9-10), kmi (0.3-3), kml (1.1.2), ks (1.6.13), kza (1.03.1),
languageR (1.0), lasso2 (1.2-11), latentnet (2.3-0), lattice (0.18-8),
latticedl (1.1), latticeExtra (0.6-11), latticist (0.9-43), lda
(1.2.1), ldDesign (1.2-0), lemma (1.3-1), lgtdl (1.1.1), limSolve
(1.5.2), linprog (0.9-0), lme4 (0.999375-34), logging (0.4-42),
logistf (1.10), longitudinalData (0.6.5), lordif (0.1-5), ltm (0.9-4),
maanova (1.18.0), MAc (1.1), MAd (0.8), mapdata (2.1-3), maps (2.1-4),
maptools (0.7-34), marelac (2.1), MASS (7.3-7), Matrix (0.999375-42),
matrixStats (0.2.1), maxLik (0.7-2), mbmdr (2.1), mboost (2.0-6), mc2d
(0.1-8), mclust (3.4.4), mcmc (0.8), mco (1.0.9), mecdf (0.4.1),
memisc (0.95-30), meta (1.6-0), MetabolAnalyze (1.1), metafor (1.3-0),
mgcv (1.6-2), mhsmm (0.3.5), mi (0.09-11), micEcon (0.6-4),
micEconAids (0.6-4), minet (2.4.0), minqa (1.1.8), miscTools (0.6-2),
mitools (2.0.1), mixAK (1.0), mixdist (0.5-3), mixlow (1.0.0),
mixOmics (2.7-1), mixtools (0.4.4), mlegp (3.1.1), mlmmm (0.3-1.2),
mlogit (0.1-7), mokken (2.3), monomvn (1.8-3), mrdrc (1.0-5), msm
(0.9.7), mstate (0.2.4), mtsc (0.0.2), muhaz (1.2.5), multcomp
(1.1-7), multinomRob (1.8-4), multtest (2.4.0), mutatr (0.1.2),
mvabund (0.1-10), mvbutils (2.5.1), mvtnorm (0.9-92), nanop (1.0-1),
ncdf (1.6.1), ncvreg (2.1), NetCluster (0.2), NetData (0.2),
networksis (1.4), nFactors (2.3.2), nFDR (0.0-1), nleqslv (1.6.1),
nltm (1.4.1), NMF (0.4.8), nnls (1.3), nodeHarvest (0.5), noia
(0.94.1), norm (1.0-9.2), np (0.40-1), nsRFA (0.7-0), nutshell (1.01),
nws (1.7.0.1), OAIHarvester (0.1-0), oc (0.07), odfWeave (0.7.14),
openintro (1.1), openNLP (0.0-8), operators (0.1-6), ordinal
(2010.06-12), orloca (3.2), orloca.es (3.2), oro.dicom (0.2.6),
oro.nifti (0.2.0), ouch (2.6-2), paleoTS (0.3-2), pamm (0.7), pamr
(1.47), panel (1.0.7), paran (1.4.3), parser (0.0-10), partDSA
(0.7.1), partitions (1.9-8), party (0.9-9997), PBSmapping (2.61.9),
PBSmodelling (2.61.210), pcalg (1.0-2), pcaPP (1.8-1), pedigree
(1.3.1), pegas (0.3-2), penalized (0.9-31), pendensity (0.2.3),
pgfSweave (1.0.5), pgirmess (1.4.6), phangorn (1.0-2), phyclust
(0.1-7), picante (1.1-1), playwith (0.9-52), plink (1.2-3), plm
(1.2-4), plotrix (2.9-5), plsdof (0.2-1), plspm (0.1-6), plyr (1.0.3),
pmml (1.2.22), poLCA (1.2), polycor (0.7-8), pomp (0.31-1), potts
(0.5), prefmod (0.8-21), prim (1.0.8), ProbForecastGOP (1.3.2),
profdpm (2.0), profileModel (0.5-7), pscl (1.03.5), psgp (0.2-11),
psych (1.0-89), PtProcess (3.2-4), QCA3 (0.0-3), qcc (2.0.1), qpcR
(1.2-8), qtl (1.16-6), QTLNetworkR (0.1-7), quadprog (1.5-3), qualV
(0.2-5), quantreg (4.50), qvalue (1.22.0), qvcalc (0.8-7), R.filesets
(0.8.2), R.matlab (1.3.1), R.oo (1.7.3), R.utils (1.4.3), r2dRue
(1.0.1), R2HTML (2.1), R2jags (0.02-08), r2lh (0.6.1), R2wd (1.3.0),
r4ss (1.06), rainbow (2.0), rake (1.1), random.polychor.pa (1.1.1),
randomForest (4.5-35), randomLCA (0.7-3), randomSurvivalForest
(3.6.3), rangeMapper (0.0-4), Rassoc (1.03), rattle (2.5.35), rbugs
(0.4-3), rcdk (2.9.23), rcdklibs (1.3.4.2), Rcmdr (1.5-6),
RcmdrPlugin.DoE (0.6-14), RcmdrPlugin.epack (1.2.4),
RcmdrPlugin.FactoMineR (1.01), RcmdrPlugin.TeachingDemos (1.0-5), rcom
(2.2-3), Rcpp (0.8.4), RcppArmadillo (0.2.3), RCurl (1.4-2), relsurv
(1.6), rEMM (1.0-0), RExcelInstaller (3.1-5), RFinanceYJ (0.1.0),
RFLPtools (1.2), rgdal (0.6-27), rgenoud (5.6-7), rgl (0.91), Rhh
(1.0.1), RHRV (2.4), rjags (2.1.0-5), rJava (0.8-4), rjson (0.1.9),
RLRsim (2.0-5), rmetasim (1.1.12), rms (3.0-0), RNetCDF (1.2-1.1),
robCompositions (1.4.2), robfilter (2.6.1), robust (0.3-11),
rpartOrdinal (2.0.2), RPPanalyzer (1.0.3), rpvm (1.0-4), rrcov
(1.0-01), RSAGA (0.9-7), Rserve (0.6-1), RSiena (1.0.11.110), Rsolnp
(1.0-4), RSQLite (0.9-1), rstream (1.2.5), Rsymphony (0.1-11), rtv
(0.4.0), runjags (0.9.7-1), Runuran (0.14.0), Rvmmin (0.92),
samplesize (0.1-7), samr (1.28), sapa (1.0-3), scaleboot (0.3-3),
sciplot (1.0-7), scout (1.0.2), scrime (1.2.0), sdcTable (0.0.12),
SDMTools (1.1), seacarb (2.3.4), seas (0.3-9), seewave (1.5.8),
segclust (0.76), segmented (0.2-7.1), SEL (1.0-2), sem (0.9-20),
sendplot (3.8.6), seqinr (2.0-9), seriation (1.0-2), sets (1.0-6),
simFrame (0.2), simone (1.0-0), simPopulation (0.1.2), SIS (0.5),
SiZer (0.1-2), skmeans (0.1-5), slam (0.1-13), sm (2.2-4.1), smacof
(1.0-1), smoothSurv (0.7), sn (0.4-15), sna (2.1-0), snowfall (1.84),
snowFT (1.2-0), som (0.3-5), someKfwer (1.1), sos (1.3-0), sp
(0.9-65), spam (0.22-0), sparcl (1.0.1), spatgraphs (2.37), spatial
(7.3-2), spatialsegregation (2.18), spatstat (1.19-3), spBayes
(0.1-8), spcosa (0.2-1), spdep (0.5-14), spgrass6 (0.6-16), spgwr
(0.6-8), sphet (1.0-0), splancs (2.01-27), sqldf (0.3-5), st (1.1.4),
stab (0.0.8), StatDataML (1.0-20), StatFingerprints (2.0), statmod
(1.4.6), stockPortfolio (1.1), stringkernels (0.8.9), SubpathwayMiner
(3.0), surveillance (1.2-1), survey (3.22-2), SV (1.2.4), svcR
(1.6.4), svGUI (0.9-47), svIDE (0.9-49), svMisc (0.9-57), svUnit
(0.7-2), SweaveListingUtils (0.4.5), tawny (1.2.1), tdm (2.2.2),
tensorA (0.35), termstrc (1.3.1), textcat (0.0-3), tgp (2.3-3),
TGUICore (0.9.10), TGUITeaching (0.9.10), time (1.1), timeDate
(2120.89), timereg (1.3-4), timeSeries (2120.88), tis (1.12),
tm.plugin.mail (0.0-3), tnet (2.7.1), tolerance (0.2.1), topicmodels
(0.0-6), topmodel (0.7.2-1), tpr (0.3-1), tractor.base (1.5.0), traitr
(0.7), tree (1.0-28), trio (1.1.10), trip (1.1-6), tripEstimation
(0.0-33), truncnorm (1.0-4), TSdbi (2010.5-1), tsDyn (0.7-30), TSfame
(2010.5-1), TShistQuote (2010.5-1), tsModel (0.5-3), TSMySQL
(2010.5-1), TSodbc (2010.5-1), TSpadi (2010.5-1), TSPostgreSQL
(2010.5-1), TSSQLite (2010.5-1), ttime (1.2), ttutils (1.0-1), tuneR
(0.3-0), twitteR (0.1.6), udunits (1.3.1), umlr (0.3.0), uncompress
(1.33), unmarked (0.8-6), untb (1.6-3), vardiag (0.1-3), varSelRF
(0.7-2), vbmp (1.16.0), vcdExtra (0.5-0), vegan (1.17-3), vegdata
(0.1.5), venneuler (1.0-2), VGAM (0.8-1), vowels (1.1), VPdtw (2.1-6),
vrmlgen (1.4.4), wavelets (0.2-6), waveslim (1.6.4), wavethresh (4.5),
wgaim (0.99-1), wle (0.9-4), WMCapacity (0.9.5.0), wmtsa (1.0-5),
wordnet (0.1-6), xlsx (0.2.1), xlsxjars (0.2.0), XML (3.1-0), xts
(0.7-1), yaImpute (1.0-11), zoo (1.6-4)
New reviews
-----------
* survey, by s195404
http://crantastic.org/reviews/79
* RODBC, by s195404
http://crantastic.org/reviews/78
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