quantregForest: Quantile Regression Forests

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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.

Author
Nicolai Meinshausen
Date of publication
2016-05-19 16:32:47
Maintainer
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
License
GPL
Version
1.3-5

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Man pages

predict.quantregForest
Prediction method for class quantregForest
quantregForest
Quantile Regression Forests

Files in this package

quantregForest
quantregForest/src
quantregForest/src/rf.h
quantregForest/src/regTree.c
quantregForest/src/rf.c
quantregForest/src/rfsub.f
quantregForest/src/classTree.c
quantregForest/src/regrf.c
quantregForest/src/rfutils.c
quantregForest/NAMESPACE
quantregForest/R
quantregForest/R/convert.R
quantregForest/R/getTree.R
quantregForest/R/combine.R
quantregForest/R/partialPlot.R
quantregForest/R/varUsed.R
quantregForest/R/MDSplot.R
quantregForest/R/outlier.R
quantregForest/R/rfcv.R
quantregForest/R/tuneRF.R
quantregForest/R/grow.R
quantregForest/R/na.roughfix.R
quantregForest/R/predict.quantregForest.R
quantregForest/R/treesize.R
quantregForest/R/print.quantregForest.R
quantregForest/R/classCenter.R
quantregForest/R/rfImpute.R
quantregForest/R/varImpPlot.R
quantregForest/R/margin.R
quantregForest/R/quantregForest.R
quantregForest/R/parallelRandomForest.R
quantregForest/R/importance.R
quantregForest/R/get_os.R
quantregForest/MD5
quantregForest/DESCRIPTION
quantregForest/man
quantregForest/man/quantregForest.Rd
quantregForest/man/predict.quantregForest.Rd