splinetree: Longitudinal Regression Trees and Forests

Builds regression trees and random forests for longitudinal or functional data using a spline projection method. Implements and extends the work of Yu and Lambert (1999) <doi:10.1080/10618600.1999.10474847>. This method allows trees and forests to be built while considering either level and shape or only shape of response trajectories.

Version: 0.2.0
Depends: R (≥ 3.5.0), rpart, nlme, splines
Imports: mosaic, ggplot2, treeClust, mclust
Suggests: R.rsp, knitr, rmarkdown, testthat
Published: 2019-07-18
Author: Anna Neufeld [aut, cre], Brianna Heggeseth [aut, ths]
Maintainer: Anna Neufeld <aneufeld at uw.edu>
BugReports: https://github.com/anna-neufeld/splinetree/issues
License: MIT + file LICENSE
URL: https://github.com/anna-neufeld/splinetree
NeedsCompilation: no
Materials: README NEWS
In views: FunctionalData
CRAN checks: splinetree results

Documentation:

Reference manual: splinetree.pdf
Vignettes: Introduction to Forest Building with splinetree
Introduction to splinetree
Introduction to Tree Building with splinetree

Downloads:

Package source: splinetree_0.2.0.tar.gz
Windows binaries: r-devel: splinetree_0.2.0.zip, r-release: splinetree_0.2.0.zip, r-oldrel: splinetree_0.2.0.zip
macOS binaries: r-release (arm64): splinetree_0.2.0.tgz, r-oldrel (arm64): splinetree_0.2.0.tgz, r-release (x86_64): splinetree_0.2.0.tgz
Old sources: splinetree archive

Linking:

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