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cff-version: 1.2.0
message: 'To cite package "multipathaic" in publications use:'
type: software
license: MIT
title: 'multipathaic: Multi-Path Stepwise Selection with AIC'
version: 0.1.3
abstract: 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) <https://doi.org/10.1109/TAC.1974.1100705>,
  and bootstrap resampling by Efron (1979) <https://doi.org/10.1214/aos/1176344552>.
authors:
- family-names: Obuobi
  given-names: Michael
  email: obuobimichael25@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/mobuobi/multipathaic
commit: 658aadf6416a46713db788b90eb0fd2ffeccc772
url: https://github.com/mobuobi/multipathaic
date-released: '2026-10-28'
contact:
- family-names: Obuobi
  given-names: Michael
  email: obuobimichael25@gmail.com