Package: VSURF
Type: Package
Title: Variable Selection Using Random Forests
Version: 0.8.2
Date: 2013-05-12
Author: Robin Genuer, Jean-Michel Poggi and Christine Tuleau-Malot
Maintainer: Robin Genuer <Robin.Genuer@isped.u-bordeaux2.fr>
Description: Three steps variable selection procedure based on random forests.
Initially developed to handle high dimensional data (for which number of
variables largely exceeds number of observations), the package is very
versatile and can treat most dimensions of data, for regression and
supervised classification problems. First step is dedicated to eliminate
irrelevant variables from the dataset. Second step aims to select all
variables related to the response for interpretation purpose. Third step
refines the selection by eliminating redundancy in the set of variables
selected by the second step, for prediction purpose.
License: GPL (>= 2)
Depends: randomForest, rpart, doParallel
Packaged: 2014-05-12 13:57:52 UTC; robin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-12 16:19:26

Authors@R: c(person("Robin", "Genuer", email = "Robin.Genuer@isped.u-bordeaux2.fr", role = c("aut", "cre")),
person("Jean-Michel", "Poggi", role = "aut"),
person("Christine", "Tuleau-Malot", role = "aut"))
Imports: doParallel, foreach, parallel, randomForest, rpart

Authors@R: c(person("Robin", "Genuer", email = "Robin.Genuer@u-bordeaux.fr", role = c("aut", "cre")),
Genuer, R. and Poggi, J.M. and Tuleau-Malot, C. (2015)

Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015)
Imports: doParallel, foreach, parallel, Rborist, randomForest, ranger,

Title: Variance and Skewness Decomposition
Description: Provides decomposition methods for the skewness or the variance of a variable (e.g., wage).
By breaking distribution moments into independent components, users can
analyze changes in distributions across time or between groups.
Imports: Hmisc, ggplot2, reshape, lfe, rlang

Description: Provides decomposition methods for the skewness or variance of a variable (e.g., wage).

Title: Interactive Document for Working with Variance Analysis
Description: An interactive document on  the topic of variance analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://predanalyticssessions1.shinyapps.io/chisquareVarianceTest/>.
Packaged: 2019-07-14 13:07:47 UTC; KARTIKEYA