BoostMLR: Boosting for Multivariate Longitudinal Responses

Jointly models the multivariate longitudinal responses and multiple covariates and time using gradient boosting approach.

Version: 1.0.3
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.18), stats, splines, nlme
LinkingTo: Rcpp, RcppArmadillo
Suggests: mlbench
Published: 2021-02-25
Author: Amol Pande, Hemant Ishwaran
Maintainer: Amol Pande <amoljpande at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: BoostMLR citation info
Materials: NEWS
CRAN checks: BoostMLR results

Downloads:

Reference manual: BoostMLR.pdf
Package source: BoostMLR_1.0.3.tar.gz
Windows binaries: r-devel: BoostMLR_1.0.3.zip, r-devel-UCRT: BoostMLR_1.0.3.zip, r-release: BoostMLR_1.0.3.zip, r-oldrel: BoostMLR_1.0.3.zip
macOS binaries: r-release (arm64): BoostMLR_1.0.3.tgz, r-release (x86_64): BoostMLR_1.0.3.tgz, r-oldrel: BoostMLR_1.0.3.tgz
Old sources: BoostMLR archive

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