similar to: dclone 1.3-0

Dear R Community, I am happy to introduce the next release of the *dclone* package (see R Journal, 2(2): 29-37, 2010) which now includes a suite of functions for parallel computations: - see functions parJagsModel, parUpdate, parCodaSamples using 'snow' type clusters; and the - jags.parfit function that can be used with 'snow' type clusters or multiple cores. - iterative model

Dear R Community, I am happy to introduce the next release of the *dclone* package (see R Journal, 2(2): 29-37, 2010) which now includes a suite of functions for parallel computations: - see functions parJagsModel, parUpdate, parCodaSamples using 'snow' type clusters; and the - jags.parfit function that can be used with 'snow' type clusters or multiple cores. - iterative model

Dear UseRs! We are pleased to announce the release of our new package 'PVAClone'. The 'PVAClone' package implements Population Viability Analysis (PVA) methodology using data cloning. The data cloning algorithm by Lele et al. (2007, 2010) is employed to compute maximum likelihood estimates of the state-space model parameters and the corresponding standard errors, heavily

Dear UseRs! We are pleased to announce the release of our new package 'PVAClone'. The 'PVAClone' package implements Population Viability Analysis (PVA) methodology using data cloning. The data cloning algorithm by Lele et al. (2007, 2010) is employed to compute maximum likelihood estimates of the state-space model parameters and the corresponding standard errors, heavily

Full_Name: Peter Solymos Version: 2.8.1 OS: Windows Submission from: (NULL) (129.128.141.92) The help page of the Box.test function (stats) states that the Ljung-Box test was published in: Ljung, G. M. and Box, G. E. P. (1978), On a measure of lack of fit in time series models. Biometrika 65, 553--564. The page numbers are incorrect. The correct citation should be as follows: Ljung, G. M.

I want to use the grplasso package on a data set where I want to fit a linear model.? My interest is in identifying significant?beta coefficients.? The documentation is a bit cryptic so I'd appreciate some help. ? I know this is a strategy for large numbers of variables but consider a simple case for pedagogical puposes.? Say I have?two 3 category predictors (2 dummies each), a binary

Dear all, I am not fluent in R and am struggling to 1) apply a lm to a weight-size dataset, thus the model has to run separately for each species, each year; 2) extract coefs, r-squared, n, etc. The data look like this: year sps cm w 2009 50 16 22 2009 50 17 42 2009 50 18 45 2009 51 15 45 2009 51 16 53 2009 51 17 73 2010 50 15 22 2010 50 16 41 2010 50 16 21 2010

Dear R Community, I am pleased to announce that a new version of the mefa R package is available at the CRAN. mefa is a package for multivariate data handling in ecology and biogeography. It provides object classes to represent the data coded by samples, taxa and segments (i.e., subpopulations, repeated measures). It supports easy processing of the data along with relational data tables for

Dear R Community, I am pleased to announce that a new version of the mefa R package is available at the CRAN. mefa is a package for multivariate data handling in ecology and biogeography. It provides object classes to represent the data coded by samples, taxa and segments (i.e., subpopulations, repeated measures). It supports easy processing of the data along with relational data tables for

Hi, I want to update an existing row in table "items" where items.id == 10 I tried this: item = Item.new item.f1 = ... item.f2 = ... ... item.id = 10 item.save I got an error Duplicate entry ... for key 10 : INSERT INTO items ... How do I make item.save to use UPDATE instead of INSERT? -- Posted via http://www.ruby-forum.com/.

Hello all, I used google and looked at the documentation to find out why the ADONIS function is called adonis (in the vegan package). I am writing a document and would like to include a abbreviation list (similar to "ANOSIM = Analysis of Similarities"). regards, Steve

Hi I am trying to use the RSS classes from "rss/2.0" and everything works but I want to know what attributes and properties I can get at from each of the classes I am getting back. For example, the class has a "channel" which I can tell has a "title" attribute (because it works when I query it :) but I would really like a list of every attribute that is

Dear R Community, I?m relatively new in the field of R and I hope someone of you can help me to solve my nerv-racking problem. For my Master thesis I collected some behavioral data of fish using acoustic telemetry. The aim of the study is to compare two different groups of fish (coded as 0 and 1 which should be the dependent variable) based on their swimming activity, habitat choice, etc.

I''m studying the Agile Development with Rails book. In the chapter that first sets up the depot application (page 68), there is this bit of code from a view: <% for product in @products %> <tr> <% for column in Product.content_columns %> <td><%=h product.send(column.name) %></td> <% end %> etc... I am trying to absorb both Ruby and

Hi all, I have updated the exact2x2 package. The update corrects an error that can sometimes occur in the confidence intervals when the number of counts are large and tsmethod="minlike". In addition to fixing the bug, the correction gives a much faster method for calculating the confidence interval. The package gives exact confidence intervals that match the p-values for Fisher's

Hi all, I have updated the exact2x2 package. The update corrects an error that can sometimes occur in the confidence intervals when the number of counts are large and tsmethod="minlike". In addition to fixing the bug, the correction gives a much faster method for calculating the confidence interval. The package gives exact confidence intervals that match the p-values for Fisher's

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

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):