macs: Recursive Partitioning Based Multivariate Adaptive Regression Models, Classification Trees, Survival Trees

Implements recursive partitioning based, nonparametric methods for high dimensional regression and classification. Depending on the aims of data analysis as well as the structures of the data, macs provides three major functions: multivariate adaptive regression models, classification trees and survival trees. A list of references for this package is, Zhang, H. (1997) <doi:10.1080/10618600.1997.10474728>, Zhang, H. et al. (1999) <ISBN:978-1-4757-3027-2>, Zhang, H. et al. (2014) <doi:10.1002/gepi.21843>.

Version: 1.0
Imports: Rcpp (≥ 0.12.17)
LinkingTo: Rcpp
Published: 2019-10-09
Author: Heping Zhang, Yihao Lu, Haixu Ma, Mingliang Ma, Yidong Zhou, Qi Yu
Maintainer: Qi Yu <me at fredyu.net>
License: GPL-2
NeedsCompilation: yes
CRAN checks: macs results

Downloads:

Reference manual: macs.pdf
Package source: macs_1.0.tar.gz
Windows binaries: r-devel: macs_1.0.zip, r-release: macs_1.0.zip, r-oldrel: macs_1.0.zip
OS X binaries: r-release: not available, r-oldrel: not available

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