Last data update: 2014.03.03

randomUniformForest

Package: randomUniformForest
Type: Package
Title: Random Uniform Forests for Classification, Regression and
Unsupervised Learning
Version: 1.1.5
Date: 2015-02-16
Author: Saip Ciss
Maintainer: Saip Ciss <saip.ciss@wanadoo.fr>
Description: Ensemble model, for classification, regression
and unsupervised learning, based on a forest of unpruned
and randomized binary decision trees. Each tree is grown
by sampling, with replacement, a set of variables at each node.
Each cut-point is generated randomly, according to the continuous
Uniform distribution. For each tree, data are either bootstrapped
or subsampled. The unsupervised mode introduces clustering, dimension reduction
and variable importance, using a three-layer engine. Random Uniform Forests are mainly
aimed to lower correlation between trees (or trees residuals), to provide a deep analysis
of variable importance and to allow native distributed and incremental learning.
License: BSD_3_clause + file LICENSE
LazyData: yes
Depends: R (>= 3.0.0)
Imports: methods, Rcpp (>= 0.11.1), parallel, doParallel, iterators,
foreach (>= 1.4.2), ggplot2, pROC, gtools, cluster, MASS
Suggests: R.rsp
VignetteBuilder: R.rsp
LinkingTo: Rcpp
Packaged: 2015-02-16 20:09:27 UTC; zidd
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-02-16 21:29:00

● 0 images, 38 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'randomUniformForest' ...
** package 'randomUniformForest' successfully unpacked and MD5 sums checked
** libs
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include"   -fpic  -g -O2  -c cppFunctions.cpp -o cppFunctions.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o randomUniformForest.so cppFunctions.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/randomUniformForest/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'randomUniformForest'
    finding HTML links ... done
    ConcreteCompressiveStrength             html  
    as.supervised                           html  
    autoMPG                                 html  
    bCI                                     html  
    biasVarCov                              html  
    breastCancer                            html  
    carEvaluation                           html  
    clusterAnalysis                         html  
    clusteringObservations                  html  
    combineUnsupervised                     html  
    fillNA2.randomUniformForest             html  
    generic.cv                              html  
    getTree.randomUniformForest             html  
    importance.randomUniformForest          html  
    init_values                             html  
    internalFunctions                       html  
    mergeClusters                           html  
    model.stats                             html  
    modifyClusters                          html  
    partialDependenceBetweenPredictors      html  
    partialDependenceOverResponses          html  
    partialImportance                       html  
    plotTree                                html  
    postProcessingVotes                     html  
    predict.randomUniformForest             html  
    rUniformForest.big                      html  
    rUniformForest.combine                  html  
    rUniformForest.grow                     html  
    randomUniformForest-package             html  
    randomUniformForest                     html  
    reSMOTE                                 html  
    rm.trees                                html  
    roc.curve                               html  
    simulationData                          html  
    splitClusters                           html  
    unsupervised.randomUniformForest        html  
    update.unsupervised                     html  
    wineQualityRed                          html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (randomUniformForest)
Making 'packages.html' ... done