Package: FLORAL 0.3.0
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>.
Authors:
FLORAL_0.3.0.tar.gz
FLORAL_0.3.0.tar.gz(r-4.5-noble)FLORAL_0.3.0.tar.gz(r-4.4-noble)
FLORAL_0.3.0.tgz(r-4.4-emscripten)FLORAL_0.3.0.tgz(r-4.3-emscripten)
FLORAL.pdf |FLORAL.html✨
FLORAL/json (API)
NEWS
# Install 'FLORAL' in R: |
install.packages('FLORAL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vdblab/floral/issues
Last updated 3 months agofrom:ae03c5fabd. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-linux-x86_64 | OK | Nov 19 2024 |
Exports:a.FLORALFLORALmcv.FLORALsimu
Dependencies:ast2astbootstrapcaretclasscliclockcodetoolscolorspacecpp11crayondata.tabledfdrdiagramdigestdoParalleldoRNGdplyre1071expmfansifarverforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlobstrlubridatemagrittrMASSMatrixmgcvModelMetricsmsmmunsellmvtnormnlmennetnumDerivparallellypillarpkgconfigplyrprettyunitspROCprodlimprogressrproxypryrpurrrR6RColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrecipesreshapereshape2rlangrmetarngtoolsrpartscalesshapeSQUAREMstringistringrSuppDistssurvcompsurvivalsurvivalROCtibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Using FLORAL for Microbiome Analysis
Rendered fromUsing-FLORAL-for-Microbiome-Analysis.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2023-07-05
Started: 2023-05-11
Using FLORAL for survival models with longitudinal microbiome data
Rendered fromUsing-FLORAL-for-survival-models-with-longitudinal-microbiome-data.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2024-08-21
Started: 2024-08-21