# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "quantregForest" in publications use:' type: software license: GPL-1.0-only title: 'quantregForest: Quantile Regression Forests' version: 1.3-7.1 doi: 10.32614/CRAN.package.quantregForest abstract: 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. authors: - family-names: Meinshausen given-names: Nicolai - family-names: Michel given-names: Loris email: michel@stat.math.ethz.ch repository: https://CRAN.R-project.org/package=quantregForest repository-code: https://github.com/lorismichel/quantregForest url: https://github.com/lorismichel/quantregForest date-released: '2017-12-16' contact: - family-names: Michel given-names: Loris email: michel@stat.math.ethz.ch