# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ 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: 0.1.9 doi: 10.32614/CRAN.package.RFmstate abstract: Fits transition-specific cause-specific random survival forests on a clock-reset duration scale for acyclic, non-recurrent multistate processes. Entry-conditioned state-occupation probabilities are assembled from predicted cumulative hazards by semi-Markov entry-mass and sojourn convolution on a validated regular grid. The one-row-per-subject interface supports one common initial state, one recorded entry per state, baseline time-fixed covariates, competing exits, and independent right censoring. Left truncation, recurrent visits, directed cycles, time-dependent covariates, and ongoing-sojourn dynamic prediction are not supported. The package also provides calendar-time Aalen-Johansen point estimates as a covariate-free descriptive baseline, transition-specific permutation importance, genuine ranger edge OOB concordance, and patient-level cross-validated IPCW state-probability scoring. Methods are described in Ishwaran et al. (2008) for random survival forests, Putter et al. (2007) for multistate competing risks decomposition, and Aalen and Johansen (1978) for the nonparametric estimator. authors: - family-names: Chen given-names: Yiqing email: y.chen@tamu.edu repository: https://evalunac.r-universe.dev repository-code: https://github.com/EvalunaC/RFmstate commit: e9e4c54bda707ba99a9f26b1a3dc1f2c8355ea8c url: https://github.com/EvalunaC/RFmstate date-released: '2026-09-09' contact: - family-names: Chen given-names: Yiqing email: y.chen@tamu.edu