Package: randomUniformForest
Type: Package
Title: Random Uniform Forests for Classification, Regression and
        Unsupervised Learning
Version: 1.1.6
Date: 2022-05-31
Author: Saip Ciss
Maintainer: Saip Ciss <saip.ciss@wanadoo.fr>
Description: Ensemble model, for classification, regression
	and unsupervised learning, based on a forest of unpruned 
	and randomized binary decision trees. Each tree is grown 
	by sampling, with replacement, a set of variables at each node. 
	Each cut-point is generated randomly, according to the continuous 
	Uniform distribution. For each tree, data are either bootstrapped 
	or subsampled. The unsupervised mode introduces clustering, dimension reduction
	and variable importance, using a three-layer engine. Random Uniform Forests are mainly 
	aimed to lower correlation between trees (or trees residuals), to provide a deep analysis 
	of variable importance and to allow native distributed and incremental learning.
License: BSD_3_clause + file LICENSE
LazyData: yes
Depends: R (>= 4.2.0)
Imports: methods, Rcpp (>= 0.11.1), parallel, doParallel, iterators,
        foreach (>= 1.4.2), ggplot2, pROC, cluster, MASS
Suggests: R.rsp
VignetteBuilder: R.rsp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-06-21 20:49:32 UTC; zidd
Repository: CRAN
Date/Publication: 2022-06-21 21:50:02 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-07-24 03:41:06 UTC; windows
Archs: x64
