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-4.5)BoostMLR_1.0.3.zip(r-4.4)BoostMLR_1.0.3.zip(r-4.3)
BoostMLR_1.0.3.tgz(r-4.4-x86_64)BoostMLR_1.0.3.tgz(r-4.4-arm64)BoostMLR_1.0.3.tgz(r-4.3-x86_64)BoostMLR_1.0.3.tgz(r-4.3-arm64)
BoostMLR_1.0.3.tar.gz(r-4.5-noble)BoostMLR_1.0.3.tar.gz(r-4.4-noble)
BoostMLR_1.0.3.tgz(r-4.4-emscripten)BoostMLR_1.0.3.tgz(r-4.3-emscripten)
BoostMLR.pdf |BoostMLR.html✨
BoostMLR/json (API)
NEWS

# Install 'BoostMLR' in R:
install.packages('BoostMLR', repos = c('https://amoljpande.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

1.00 score 238 downloads 9 exports 4 dependencies

Last updated 4 years agofrom:0e27b815f3. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-win-x86_64OKNov 20 2024
R-4.5-linux-x86_64OKNov 20 2024
R-4.4-win-x86_64OKNov 20 2024
R-4.4-mac-x86_64OKNov 20 2024
R-4.4-mac-aarch64OKNov 20 2024
R-4.3-win-x86_64OKNov 20 2024
R-4.3-mac-x86_64OKNov 20 2024
R-4.3-mac-aarch64OKNov 20 2024

Exports:BoostMLRBoostMLR.newspartial.BoostMLRplotBoostMLRplotVIMPpredictBoostMLRsimLongupdateBoostMLRvimp.BoostMLR

Dependencies:latticenlmeRcppRcppArmadillo