BoostMLR: Boosting for Multivariate Longitudinal Response

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

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.18), stats, splines, nlme
LinkingTo: Rcpp, RcppArmadillo
Suggests: mlbench
Published: 2020-03-15
Author: Amol Pande, Hemant Ishwaran
Maintainer: Amol Pande <amoljpande at>
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


Reference manual: BoostMLR.pdf
Package source: BoostMLR_1.0.2.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: BoostMLR_1.0.2.tgz, r-release: BoostMLR_1.0.2.tgz, r-oldrel: BoostMLR_1.0.2.tgz
Old sources: BoostMLR archive


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