autocart: Autocorrelation Regression Trees

A modified version of the classification and regression tree (CART) algorithm for modelling spatial data that features coordinate information. Coordinate information can be used to evaluate measures of spatial autocorrelation and spatial compactness during the splitting phase of the tree, leading to better predictions and more physically realistic predictions on these types of datasets. These methods are described in Ancell and Bean (2021) <arXiv:2101.08258>.

Version: 1.4.5
Depends: fields, mgcv
Imports: Rcpp, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat, knitr, rmarkdown
Published: 2021-05-27
Author: Ethan Ancell [aut, cre]
Maintainer: Ethan Ancell <ethanancell at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: autocart results

Documentation:

Reference manual: autocart.pdf
Vignettes: Introduction to the autocart package

Downloads:

Package source: autocart_1.4.5.tar.gz
Windows binaries: r-devel: autocart_1.4.5.zip, r-devel-UCRT: autocart_1.4.5.zip, r-release: autocart_1.4.5.zip, r-oldrel: autocart_1.4.5.zip
macOS binaries: r-release (arm64): autocart_1.4.5.tgz, r-release (x86_64): autocart_1.4.5.tgz, r-oldrel: autocart_1.4.5.tgz
Old sources: autocart archive

Linking:

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