htree: Historical Tree Ensembles for Longitudinal Data

Historical regression trees are an extension of standard trees, producing a non-parametric estimate of how the response depends on all of its prior realizations as well as that of any time-varying predictor variables. The method applies equally to regularly as well as irregularly sampled data. The package implements random forest and boosting ensembles based on historical regression trees, suitable for longitudinal data. Standard error estimation and Z-score variable importance is also implemented.

Version: 2.0.0
Depends: R (≥ 2.9.0), parallel
Published: 2018-07-13
Author: Joe Sexton
Maintainer: Joe Sexton <joesexton0 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: htree results


Reference manual: htree.pdf


Package source: htree_2.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): htree_2.0.0.tgz, r-oldrel (arm64): htree_2.0.0.tgz, r-release (x86_64): htree_2.0.0.tgz, r-oldrel (x86_64): htree_2.0.0.tgz
Old sources: htree archive


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