Package: quantregForest
Type: Package
Title: Quantile Regression Forests
Version: 1.3-7.1
Date: 2017-12-16
Authors@R: c(person(given = "Nicolai",
                    family = "Meinshausen",
                    role = "aut"),
             person(given = "Loris",
                    family = "Michel",
                    role = "cre",
                    email = "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: https://github.com/lorismichel/quantregForest
BugReports: https://github.com/lorismichel/quantregForest/issues
RoxygenNote: 6.0.1
Packaged: 2024-10-07 08:16:06 UTC; hornik
Repository: CRAN
Date/Publication: 2024-10-07 08:21:02 UTC
Author: Nicolai Meinshausen [aut],
  Loris Michel [cre]
Maintainer: Loris Michel <michel@stat.math.ethz.ch>
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 17:48:31 UTC; unix
Archs: quantregForest.so.dSYM
