quantregForest v1.3-7

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Quantile Regression Forests

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.

Functions in quantregForest

Name Description
predict.quantregForest Prediction method for class quantregForest
quantregForest Quantile Regression Forests
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Details

Type Package
Date 2017-12-16
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

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