Package: quantregForest
Type: Package
Title: Quantile Regression Forests
Version: 1.3-7
Date: 2017-12-16
Author: Nicolai Meinshausen		
Maintainer: Loris Michel <michel@stat.math.ethz.ch>
Depends: randomForest, RColorBrewer
Imports: stats, parallel
Suggests: gss, knitr, rmarkdown
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
URL: http://github.com/lorismichel/quantregForest
BugReports: http://github.com/lorismichel/quantregForest/issues
RoxygenNote: 6.0.1
Packaged: 2017-12-19 16:08:33 UTC; lorismichel
Repository: CRAN
Date/Publication: 2017-12-19 20:23:39 UTC
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-05-26 01:05:39 UTC; unix
Archs: quantregForest.so.dSYM
