similar to: R Packages and code published in JSS in 2005

Hi, I am working with lpSolve "R" package by Sam Buttrey, buttrey at nps.navy.mil , which is interface to lp_solve linear/integer programming system. You can find information about lp_solve at http://groups.yahoo.com/group/lp_solve/ (free registration required). lpSolve (R package) supports linear and integer programming but it does not support semi-continuous variables

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

Hi, this is the first announcement of a *developer version* of the R package BRugs, which is based on OpenBUGS 2.1.0. OpenBUGS 2.1.0 has been released earlier this week (http://mathstat.helsinki.fi/openbugs/). BRugs contains a complete OpenBUGS installation as well as R code to access OpenBUGS functionality from R. Simply install the package, load it and say ?BRugs and ?BRugsFit

Hi. This feels like a bug to me, or at least an undocumented feature, but I thought I'd see what people here thought of it. Consider a POSIXlt object like this one: > a <- as.POSIXlt ("2011-01-23 12:45:45") > class (a) [1] "POSIXlt" "POSIXt" Fine. Now, if I do some arithmetic on that object, the result is converted to POSIXct. > class (a

How to define bounds for a semi continous variable in lp_solve. Min 5x1 +9x2 +7.15x3 +0.1x4 subject to x1+x2+x3+x4=6.7 x1+x4 <= 6.5 And x3 can be 0 or greater than 3.6 hence x3 is a semi continous variable how to define bounds as well as semicontinous function because using set.semicont and set. bound simantaneously doesn't seem to work.Thanks in advance for the help -- View this

Following an example on p 111 in 'Nonlinear Regression with R' by Ritz & Streibig, I have been fitting nls models using square brackets with the grouping variable inside. In their book is this example, in which 'state' is a factor indicating whether a treatment has been used or not: > Puromycin.m1 <- nls(rate ~ Vm[state] * + conc/(K[state] + conc), data = Puromycin,

Hello! I must estimate the parameters of a exponential power density. There is the normalp package, but this works only for a shape parameter bigger than 1. But what should i do if the shape parameter is less than 1? (Sorry for my english) Thank you very much for help! -- View this message in context: http://www.nabble.com/Parameters-of-exponential-power-density-tp20774495p20774495.html Sent from

p { margin-bottom: 0.08in; } Dear All, I will appreciate some suggestions of R packages for "ESTIMATION OF THE EXPONENT OF POWER-LAW FREQUENCY DISTRIBUTIONS". I have been searching at the R-help list several keywords for this subject and I did not find a very specific package, except the useful normalp package. I believe there are others but I was not able to identify it. I have

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Full_Name: Wolfgang Huber Version: 1.5.1 OS: Windoof 2000 Submission from: (NULL) (193.174.62.11) Hi, Trying to install the binary distribution (zip file) for the "pixmap" package, as downloaded today from CRAN, I get the following warning "error -1". The package will not be installed. Installation of other packages (e.g. pinktoe, acepack) worked fine. The warning or error

Hi, I tried to install the "pixmap" package on R 1.5.1. running on Windows 2000, but all I get are the following errors - could it be that something is wrong with the build of this particular package? Installation of other packages (I just tried with "pinktoe") seems to work fine. --------------------------------------------------------------- ### When trying to "Install

Hello, I'm trying to do some non-linear regression with 2 cell types and 4 tissue type treatments using selfStart models Following Ritz and Streibig (2009), I wrote the following routines: ##Selfstart expDecayAndConstantInflowModel <- function(Tb0, time, aL, aN, T0){ exp(-time*aL)*(T0*aL+(-1+exp(time * aL))*Tb0 * aN)/aL } expDecayAndConstantInflowModelInit <- function(mCall, LHS,

More and more R packages come with a corresponding article in the Journal of Statistical Software (www.jstatsoft.org). Achim Zeileis, our TeXnical Editor, has recently contributed jss style files for issues, bookreviews, software reviews, and code snippets. They can be downloaded from http://www.jstatsoft.org/JSSstyle.zip Package authors who want to transform their package into a published

More and more R packages come with a corresponding article in the Journal of Statistical Software (www.jstatsoft.org). Achim Zeileis, our TeXnical Editor, has recently contributed jss style files for issues, bookreviews, software reviews, and code snippets. They can be downloaded from http://www.jstatsoft.org/JSSstyle.zip Package authors who want to transform their package into a published

please find enclosed the latest WWN issue A+ -- --------------- Eric Pouech (http://perso.wanadoo.fr/eric.pouech/) "The future will be better tomorrow", Vice President Dan Quayle -------------- next part -------------- Wine Weekly News All the News that Fits, we print. Events, progress, and happenings in the

please find enclosed the latest WWN issue A+ -- --------------- Eric Pouech (http://perso.wanadoo.fr/eric.pouech/) "The future will be better tomorrow", Vice President Dan Quayle -------------- next part -------------- Wine Weekly News All the News that Fits, we print. Events, progress, and happenings in the

Readers, Using version 251 I tried the following command: lm(y~a+b,data=datafile) Resulting in, inter alia: ... coefficients (intercept) a 1.2 3.4 Packages installed: acepack ace() and avas() for selecting regression transformations adlift An adaptive lifting scheme algorithm akima Interpolation of irregularly spaced

CentOS Errata and Bugfix Advisory 2017:3300 Upstream details at : https://access.redhat.com/errata/RHBA-2017:3300 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 4d855e1f6d3ba3e6627c7c842fed454ba4e5aad9ac22071ec7e7b2642b89852e jss-4.4.0-9.el7_4.x86_64.rpm c2eb5b058260257f00d10f79e17ce6dfd667c24e69cb5737ae4c4456950bf068

CentOS Errata and Bugfix Advisory 2018:1989 Upstream details at : https://access.redhat.com/errata/RHBA-2018:1989 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 24530b2aa1420f1ae57ee1837e9e5c93301f64d99cff8d825300460b45a1154a jss-4.4.0-12.el7_5.x86_64.rpm 025adb85871409cd854bc2d7cbcbc71e7f8a17175e39937786424a7a33e79ad4

CentOS Errata and Bugfix Advisory 2018:2453 Upstream details at : https://access.redhat.com/errata/RHBA-2018:2453 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: ae5bd3487e29f9d154285412dfaf7ad7dc4b97666696cb74547d957ec3314b21 jss-4.4.0-13.el7_5.x86_64.rpm 9cc0b1a4c525ca8176b3525af0366e63772133ad94d5b189df5c2950f063249d