Package: BoostMLR 1.0.3

BoostMLR: Boosting for Multivariate Longitudinal Responses

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

Authors:Amol Pande, Hemant Ishwaran

BoostMLR_1.0.3.tar.gz
BoostMLR_1.0.3.zip(r-4.7-x86_64)BoostMLR_1.0.3.zip(r-4.7-arm64)BoostMLR_1.0.3.zip(r-4.6-x86_64)BoostMLR_1.0.3.zip(r-4.6-arm64)BoostMLR_1.0.3.zip(r-4.5-x86_64)
BoostMLR_1.0.3.tgz(r-4.6-x86_64)BoostMLR_1.0.3.tgz(r-4.6-arm64)BoostMLR_1.0.3.tgz(r-4.5-x86_64)BoostMLR_1.0.3.tgz(r-4.5-arm64)
BoostMLR_1.0.3.tar.gz(r-4.7-arm64)BoostMLR_1.0.3.tar.gz(r-4.7-x86_64)BoostMLR_1.0.3.tar.gz(r-4.6-arm64)BoostMLR_1.0.3.tar.gz(r-4.6-x86_64)
BoostMLR_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BoostMLR/json (API)

# Install 'BoostMLR' in R:
install.packages('BoostMLR', repos = c('https://amoljpande.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 363 downloads 9 exports 4 dependencies

Last updated from:0e27b815f3. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK122
source / vignettesOK195
linux-release-arm64OK116
linux-release-x86_64OK117
macos-release-arm64OK100
macos-release-x86_64OK250
macos-oldrel-arm64OK100
macos-oldrel-x86_64OK232
windows-devel-arm64OK312
windows-devel-x86_64OK155
windows-release-arm64OK203
windows-release-x86_64OK121
windows-oldrel-x86_64OK106
wasm-releaseOK84

Exports:BoostMLRBoostMLR.newspartial.BoostMLRplotBoostMLRplotVIMPpredictBoostMLRsimLongupdateBoostMLRvimp.BoostMLR

Dependencies:latticenlmeRcppRcppArmadillo