Implements a multi-path forward selection algorithm using the Akaike Information Criterion (AIC) for both linear (Gaussian) and logistic (binomial) regression models. Unlike traditional stepwise methods that follow a single path, this approach explores multiple competitive model paths simultaneously by retaining near-optimal models at each step. The package includes stability estimation via bootstrap resampling and identifies plausible models based on AIC tolerance and variable stability thresholds. The information criterion is described by Akaike (1974) <doi:10.1109/TAC.1974.1100705>, and bootstrap resampling by Efron (1979) <doi:10.1214/aos/1176344552>.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, utils |
| Suggests: | lars, knitr, rmarkdown, shiny, shinydashboard, plotly, DT, ggplot2, readxl, htmltools, kableExtra |
| Published: | 2026-10-28 |
| DOI: | 10.32614/CRAN.package.multipathaic (may not be active yet) |
| Author: | Michael Obuobi [aut, cre] |
| Maintainer: | Michael Obuobi <obuobimichael25 at gmail.com> |
| BugReports: | https://github.com/mobuobi/multipathaic/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/mobuobi/multipathaic |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | multipathaic results |
| Reference manual: | multipathaic.html , multipathaic.pdf |
| Vignettes: |
Multi-Path AIC Selection: Diabetes Progression Analysis (source, R code) Multi-Path AIC Selection: Methodology (source, R code) |
| Package source: | multipathaic_0.1.3.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 |
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