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FLORAL: Fit Log-Ratio Lasso Regression for Compositional Data

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 <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
CRAN checks: FLORAL results

Documentation:

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

Downloads:

Package source: FLORAL_0.3.0.tar.gz
Windows binaries: r-devel: FLORAL_0.3.0.zip, r-release: FLORAL_0.3.0.zip, r-oldrel: FLORAL_0.3.0.zip
macOS binaries: r-release (arm64): FLORAL_0.3.0.tgz, r-oldrel (arm64): FLORAL_0.3.0.tgz, r-release (x86_64): FLORAL_0.3.0.tgz, r-oldrel (x86_64): FLORAL_0.3.0.tgz
Old sources: FLORAL archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FLORAL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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