fspls2: A Package to Find Minimal Transcriptional Signatures

Identifies minimal biomarker signatures for predicting phenotypes from multiomic data. Integrates multiple omics layers, supports internal cross-validation. Supports missing values in predictors and outcomes. Enables model based imputation of uncertain values. Supports continuous, binary, multi-class and ordinal outcomes.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: R6, jsonlite, Matrix, glmnet, tidyr, MASS, ggplot2, pROC, binom, confintr, DBI, RSQLite, methods, tibble, ggrepel, RColorBrewer, data.table
Suggests: knitr, rmarkdown, testthat
Published: 2026-09-12
DOI: 10.32614/CRAN.package.fspls2 (may not be active yet)
Author: Lachlan Coin [aut, cre]
Maintainer: Lachlan Coin <l.coin at imb.uq.edu.au>
License: GPL-2
NeedsCompilation: no
Citation: fspls2 citation info
Materials: NEWS
CRAN checks: fspls2 results

Documentation:

Reference manual: fspls2.html , fspls2.pdf
Vignettes: demo (source, R code)

Downloads:

Package source: fspls2_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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