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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "RFmstate" in publications use:'
type: software
license: MIT
title: 'RFmstate: Random Forest-Based Multistate Survival Analysis'
version: 0.1.2
doi: 10.32614/CRAN.package.RFmstate
abstract: Fits cause-specific random survival forests for flexible multistate survival
  analysis with covariate-adjusted transition probabilities computed via product-integral.
  State transitions are modeled by random forests. Subject-specific transition probability
  matrices are assembled from predicted cumulative hazards using the product-integral
  formula. Also provides a standalone Aalen-Johansen nonparametric estimator as a
  covariate-free baseline. Supports arbitrary state spaces with any number of states
  (three or more) and any set of allowed transitions, applicable to clinical trials,
  disease progression, reliability engineering, and other domains where subjects move
  among discrete states over time. Provides per-transition feature importance, bias-variance
  diagnostics, and comprehensive visualizations. Handles right censoring and competing
  transitions. Methods are described in Ishwaran et al. (2008) <https://doi.org/10.1214/08-AOAS169>
  for random survival forests, Putter et al. (2007) <https://doi.org/10.1002/sim.2712>
  for multistate competing risks decomposition, and Aalen and Johansen (1978) <https://www.jstor.org/stable/4615704>
  for the nonparametric estimator.
authors:
- family-names: Chen
  given-names: Yiqing
  email: y.chen@tamu.edu
repository: https://cran.r-universe.dev
commit: 06f3953514a4a31c2fe80edae725289eb5d09c83
date-released: '2026-03-11'
contact:
- family-names: Chen
  given-names: Yiqing
  email: y.chen@tamu.edu