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
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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)
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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.

9 exports 0.00 score 4 dependencies 270 downloads

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

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-win-x86_64OKAug 22 2024
R-4.5-linux-x86_64OKAug 22 2024
R-4.4-win-x86_64OKAug 22 2024
R-4.4-mac-x86_64OKAug 22 2024
R-4.4-mac-aarch64OKAug 22 2024
R-4.3-win-x86_64OKAug 22 2024
R-4.3-mac-x86_64OKAug 22 2024
R-4.3-mac-aarch64OKAug 22 2024

Exports:BoostMLRBoostMLR.newspartial.BoostMLRplotBoostMLRplotVIMPpredictBoostMLRsimLongupdateBoostMLRvimp.BoostMLR

Dependencies:latticenlmeRcppRcppArmadillo