Last data update: 2014.03.03
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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
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
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