Last data update: 2014.03.03

quantregForest

Package: quantregForest
Type: Package
Title: Quantile Regression Forests
Version: 1.3-5
Date: 2016-05-19
Author: Nicolai Meinshausen
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Depends: randomForest, RColorBrewer
Imports: stats, parallel
Suggests: gss
Description: Quantile Regression Forests is a tree-based ensemble
method for estimation of conditional quantiles. It is
particularly well suited for high-dimensional data. Predictor
variables of mixed classes can be handled. The package is
dependent on the package 'randomForest', written by Andy Liaw.
License: GPL
NeedsCompilation: yes
Packaged: 2016-05-19 11:58:11 UTC; nicolai
Repository: CRAN
Date/Publication: 2016-05-19 16:32:47

● Cran Task View: MachineLearning
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'quantregForest' ...
** package 'quantregForest' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c classTree.c -o classTree.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c regTree.c -o regTree.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c regrf.c -o regrf.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c rf.c -o rf.o
f95   -fpic  -g -O2  -c rfsub.f -o rfsub.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c rfutils.c -o rfutils.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o quantregForest.so classTree.o regTree.o regrf.o rf.o rfsub.o rfutils.o -lgfortran -lm -lquadmath -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/quantregForest/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'quantregForest'
    finding HTML links ... done
    predict.quantregForest                  html  
    quantregForest                          html  
** building package indices
** testing if installed package can be loaded
* DONE (quantregForest)
Making 'packages.html' ... done