FLORAL: Fit Log-Ratio Lasso Regression for Compositional Data (original) (raw)
Log-ratio Lasso regression for continuous, binary, and survival outcomes with (longitudinal) compositional features. See Fei and others (2024) <doi:10.1016/j.crmeth.2024.100899>.
Version:
0.5.0
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, phyloseq
LinkingTo:
Rcpp, RcppArmadillo, RcppProgress, ast2ast
Suggests:
covr, knitr, rmarkdown, spelling, testthat (≥ 3.0.0), patchwork, tidyverse
Published:
2025-07-13
DOI:
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:
URL:
https://vdblab.github.io/FLORAL/
NeedsCompilation:
yes
SystemRequirements:
C++17
Language:
en-US
Materials:
In views:
CRAN checks: