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: 2026-07-16 06:55:16 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-06-21 20:50:02 UTC
RemoteUrl: https://github.com/cran/randomUniformForest
RemoteRef: HEAD
RemoteSha: f0176efdd3c11a349a73d4cf358e948ea7f1211e