Random Forest-Based Multistate Survival Analysis

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) < https://www.jstor.org/stable/4615704> for the nonparametric estimator.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("RFmstate")

0.1.9 by Yiqing Chen, a month ago


https://github.com/EvalunaC/RFmstate


Report a bug at https://github.com/EvalunaC/RFmstate/issues


Browse source code at https://github.com/cran/RFmstate


Authors: Yiqing Chen [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports survival, ranger, stats, graphics, grDevices, utils

Suggests knitr, rmarkdown, testthat


See at CRAN