Package: FLORAL 0.7.0

Teng Fei

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>.

Authors:Teng Fei [aut, cre, cph], Tyler Funnell [aut], Nicholas Waters [aut], Sandeep Raj [aut]

FLORAL_0.7.0.tar.gz
FLORAL_0.7.0.zip(r-4.7-x86_64)FLORAL_0.7.0.zip(r-4.7-arm64)FLORAL_0.7.0.zip(r-4.6-x86_64)FLORAL_0.7.0.zip(r-4.6-arm64)FLORAL_0.7.0.zip(r-4.5-x86_64)
FLORAL_0.7.0.tgz(r-4.6-x86_64)FLORAL_0.7.0.tgz(r-4.6-arm64)FLORAL_0.7.0.tgz(r-4.5-x86_64)FLORAL_0.7.0.tgz(r-4.5-arm64)
FLORAL_0.7.0.tar.gz(r-4.7-arm64)FLORAL_0.7.0.tar.gz(r-4.7-x86_64)FLORAL_0.7.0.tar.gz(r-4.6-arm64)FLORAL_0.7.0.tar.gz(r-4.6-x86_64)
FLORAL_0.7.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FLORAL/json (API)

# Install 'FLORAL' in R:
install.packages('FLORAL', repos = c('https://vdblab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vdblab/floral/issues

Pkgdown/docs site:https://vdblab.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

6.54 score 16 stars 16 scripts 358 downloads 5 exports 105 dependencies

Last updated from:dd9b47d56f. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK284
linux-devel-x86_64OK324
source / vignettesOK530
linux-release-arm64OK242
linux-release-x86_64OK295
macos-release-arm64OK319
macos-release-x86_64OK431
macos-oldrel-arm64OK329
macos-oldrel-x86_64OK553
windows-devel-arm64OK490
windows-devel-x86_64OK261
windows-release-arm64OK496
windows-release-x86_64OK258
windows-oldrel-x86_64OK244
wasm-releaseOK192

Exports:a.FLORALFLORALmcv.FLORALphy_to_floral_datasimu

Dependencies:ade4apeBiobaseBiocGenericsbiomformatBiostringscaretclasscliclockclustercodetoolscpp11crayondata.tablediagramdigestdoParalleldoRNGdplyre1071expmfarverforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatigraphipredIRangesisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmsmmulttestmvtnormnlmennetnumDerivparallellypermutephyloseqpillarpixmappkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrecipesreshapereshape2rlangrngtoolsrpartS4VectorsS7scalesSeqinfoshapespsparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsveganviridisLitewithrXVector

Using FLORAL with phyloseq data
Rendered fromUsing-FLORAL-with-phyloseq.Rmdusingknitr::rmarkdown

Last update: 2025-07-13
Started: 2025-02-17

Using FLORAL for Microbiome Analysis
Data | Running FLORAL | Interpreting the Model | The Two-step Procedure | Generating taxa selection probabilities | Elastic net
Rendered fromUsing-FLORAL-for-Microbiome-Analysis.Rmdusingknitr::rmarkdown

Last update: 2025-02-17
Started: 2023-04-27

Using FLORAL for survival models with longitudinal microbiome data
Data simulation
Rendered fromUsing-FLORAL-for-survival-models-with-longitudinal-microbiome-data.Rmdusingknitr::rmarkdown

Last update: 2025-02-17
Started: 2024-08-20