doi:10.1101/2023.05.02.538599>.">

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
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 ORCID iD [aut, cre, cph], Tyler Funnell ORCID iD [aut], Nicholas Waters ORCID iD [aut], Sandeep Raj ORCID iD [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

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