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FLORAL: Fit Log-Ratio Lasso Regression for Compositional Data

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:0.6.0
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
Suggests:covr,knitr,rmarkdown,spelling,testthat (≥ 3.0.0),patchwork,tidyverse
Published:2025-11-22
DOI:10.32614/CRAN.package.FLORAL
Author:Teng FeiORCID iD [aut, cre, cph], Tyler FunnellORCID iD [aut], Nicholas WatersORCID iD [aut], Sandeep RajORCID iD [aut]
Maintainer:Teng Fei <feit1 at mskcc.org>
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
In views:CompositionalData
CRAN checks:FLORAL results

Documentation:

Reference manual:FLORAL.html ,FLORAL.pdf
Vignettes:Using FLORAL for Microbiome Analysis (source,R code)
Using FLORAL for survival models with longitudinal microbiome data (source,R code)
Using FLORAL with phyloseq data (source,R code)

Downloads:

Package source: FLORAL_0.6.0.tar.gz
Windows binaries: r-devel:FLORAL_0.6.0.zip, r-release:FLORAL_0.6.0.zip, r-oldrel:FLORAL_0.6.0.zip
macOS binaries: r-release (arm64):FLORAL_0.5.0.tgz, r-oldrel (arm64):FLORAL_0.5.0.tgz, r-release (x86_64):FLORAL_0.6.0.tgz, r-oldrel (x86_64):FLORAL_0.6.0.tgz
Old sources: FLORAL archive

Linking:

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