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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 |
| Reference manual: | fspls2.html , fspls2.pdf |
| Vignettes: |
demo (source, R code) |
| 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): fspls2_0.1.0.tgz, r-release (x86_64): fspls2_0.1.0.tgz, r-oldrel (x86_64): fspls2_0.1.0.tgz |
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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.