similar to: Outputting a random survival forest to rf2rfz in windows

Dear useRs: It's been some time since we last sent out an announcement, so this one will cover more than just the last update. The latest release of randomForestSRC is now available on CRAN at: https://CRAN.R-project.org/package=randomForestSRC The GitHub repository, through which we prefer to receive bug reports, is at: https://github.com/kogalur/randomForestSRC If you do find issues,

Dear useRs: It's been some time since we last sent out an announcement, so this one will cover more than just the last update. The latest release of randomForestSRC is now available on CRAN at: https://CRAN.R-project.org/package=randomForestSRC The GitHub repository, through which we prefer to receive bug reports, is at: https://github.com/kogalur/randomForestSRC If you do find issues,

Dear useRs, Release 1.0.0 of the new R package 'randomSurvivalForest' is now available on CRAN and its mirrors. The package implements Ishwaran and Kogalur's Random Survival Forests algorithm for right censored survival data. The algorithm is closely patterned after Breiman's random forests, but suitably modified for the survival setting. Some key features are: o An ensemble

Dear useRs: The latest build of randomForestSRC (2.5.1) includes a configuration file that switches on the -fopenmp tag during compilation on systems that support OpenMP parallel processing. Previously, to achieve parallel processing, we required the additional step of executing an autoconf command before compiling and installing the package from source. We also believe the binaries provided by

Hi, I am having some trouble using R 2.13.1 for generating a pmml object of of class "c('randomForest.formula', 'randomForest')" I see that these methods are available: > methods(pmml) [1] pmml.coxph* pmml.hclust* pmml.itemsets* pmml.kmeans* pmml.ksvm* pmml.lm* pmml.multinom* pmml.nnet* pmml.rpart* [10] pmml.rsf* pmml.rules* pmml.survreg*

We recently posted randomForestSRC on CRAN. It uses OpenMP in the native code extensively. We set the default number of cores to two (2), but we typically run it at the maximum (omp_get_max_threads()) during analysis. Currently, users need to set options(), set an environment variable, or edit their .Rprofile to use more than two cores. We followed the protocol for mc.cores in mclapply() in

Hello, I have a problem with creating an identity matrix for glmnet by using the contrasts function. I have a factor with 4 levels. When I create dummy variables I think there should be n-1 variables (in this case 3) - so that the contrasts would be against the baseline level. This is also what is written in the help file for 'contrasts'. The problem is that the function

Does anyone know if R will install and run properly on the soon to be released Tiger operating system (Mac OS X 10.4)? There must be several Mac users out there (like myself) who will be considering the upgrade. -- Hemant Ishwaran Staff, Dept of Quantitative Health Sciences, Cleveland Clinic Foundation Adjunct Professor, Dept of Statistics, Case University

Hello, I am wanting to use MRF to do multivariate regression. We are testing whether acoustic indices can predict structure (relative abundances) of vocalising avian community in UK and Ecuador. There are 26 acoustic indices, 65 UK species and 95 Ecuadorian species. I want to build a model for each ecozone (UK/ EC) using all species (relative abundance) as response matrix, and acoustic indices as

Please find release 3.6.0 of the package "randomSurvivalForest" now available for download on CRAN. --------------------------------------------------------------------------------- CHANGES TO RELEASE ?3.6.0 RELEASE 3.6.0 represents the last and final major upgrade of this product. ?Current and future functionality will migrate to the new CRAN package, Random Forests for Survival,

Please find release 3.6.0 of the package "randomSurvivalForest" now available for download on CRAN. --------------------------------------------------------------------------------- CHANGES TO RELEASE ?3.6.0 RELEASE 3.6.0 represents the last and final major upgrade of this product. ?Current and future functionality will migrate to the new CRAN package, Random Forests for Survival,

Please find release 1.0.0 of the new CRAN package "spikeslab" now available for download. Thank you. --------------------------------------------------------------------------------- RELEASE 1.0.0 is the first and initial release of this package. Fits a rescaled spike and slab model using a continuous bimodal prior. Can be used for prediction and variable selection in low and

Please find release 1.0.0 of the new CRAN package "spikeslab" now available for download. Thank you. --------------------------------------------------------------------------------- RELEASE 1.0.0 is the first and initial release of this package. Fits a rescaled spike and slab model using a continuous bimodal prior. Can be used for prediction and variable selection in low and

Please find release 1.1.0 of the CRAN package "spikeslab" now available for download. Spike and slab for prediction and variable selection in linear regression models. Uses a generalized elastic net for variable selection. CHANGES TO RELEASE 1.1.0 RELEASE 1.1.0 is a recommended upgrade of the product. o cv.spikeslab() now takes advantage of the CRAN package "snow". It

Please find release 1.1.0 of the CRAN package "spikeslab" now available for download. Spike and slab for prediction and variable selection in linear regression models. Uses a generalized elastic net for variable selection. CHANGES TO RELEASE 1.1.0 RELEASE 1.1.0 is a recommended upgrade of the product. o cv.spikeslab() now takes advantage of the CRAN package "snow". It

Dear useRs: Release 3.2.0 of the CRAN package randomSurvivalForest is now available. ---------------------------------------------------------------------------------------------- Release 3.2.0 represents a significant upgrade in the functionality of the product. Key changes are as follows: o A second method of perturbing the data set in order to calculate variable importance (VIMP) has been

Dear useRs: Release 3.2.0 of the CRAN package randomSurvivalForest is now available. ---------------------------------------------------------------------------------------------- Release 3.2.0 represents a significant upgrade in the functionality of the product. Key changes are as follows: o A second method of perturbing the data set in order to calculate variable importance (VIMP) has been

Please find release 3.5.0 of the CRAN package "randomSurvivalForest" now posted on CRAN. Thank you. ubk2101 at columbia.edu Udaya B. Kogalur, Ph.D. Kogalur Shear Corporation 5425 Nestleway Drive, Suite L1 Clemmons, NC 27012 --------------------------------------------------------------------------------- CHANGES TO RELEASE 3.5.0 RELEASE 3.5.0 represents a significant upgrade in the

Please find release 3.5.0 of the CRAN package "randomSurvivalForest" now posted on CRAN. Thank you. ubk2101 at columbia.edu Udaya B. Kogalur, Ph.D. Kogalur Shear Corporation 5425 Nestleway Drive, Suite L1 Clemmons, NC 27012 --------------------------------------------------------------------------------- CHANGES TO RELEASE 3.5.0 RELEASE 3.5.0 represents a significant upgrade in the

Dear useRs: Release 2.0.0 of the randomSurvivalForest package is now available. --------------------------------------------------------------------------------- CHANGES TO RELEASE 2.0.0 Release 2.0.0 represents a major upgrade in the functionality and stability of the original 1.0.0 release. Key changes are as follows: o Two new splitting rules, 'logrankscore' and