FLORAL: Fit Log-Ratio Lasso Regression for Compositional Data (original) (raw)
Log-ratio Lasso regression for continuous, binary, and survival outcomes with compositional features. See Fei and others (2023) <doi:10.1101/2023.05.02.538599>.
Version: | 0.3.0 |
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Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.9), stats, survival, ggplot2, survcomp, reshape, dplyr, glmnet, caret, grDevices, utils, mvtnorm, doParallel, doRNG, foreach, msm |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress, ast2ast |
Suggests: | covr, knitr, rmarkdown, spelling, testthat (≥ 3.0.0), patchwork |
Published: | 2024-08-20 |
DOI: | 10.32614/CRAN.package.FLORAL |
Author: | Teng Fei [aut, cre, cph], Tyler Funnell [aut], Nicholas Waters [aut], Sandeep Raj [aut] |
Maintainer: | Teng Fei |
BugReports: | https://github.com/vdblab/FLORAL/issues |
License: | GPL (≥ 3) |
URL: | https://vdblab.github.io/FLORAL/ |
NeedsCompilation: | yes |
SystemRequirements: | C++17 |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | FLORAL results |
Documentation:
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