Random Forest-Based Multistate Survival Analysis

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Documentation for package ‘RFmstate’ version 0.1.9

• DESCRIPTION file
• User guides, package vignettes and other documentation

Help Pages

RFmstate-package	RFmstate: Random Forest-Based Multistate Survival Analysis
aalen_johansen	Aalen-Johansen Point Estimator
clinical_states	Create Clinical Trial Multistate Structure
compute_trans_prob	Entry-Conditioned Semi-Markov State Probabilities
define_multistate	Define Multistate Structure
diagnose	Diagnostics and Patient-Level Validation for RFmstate
diagnose.rfmstate	Diagnostics and Patient-Level Validation for RFmstate
head.msdata	Return ordinary data rows from an msdata object
importance	Feature Importance per Transition
importance.rfmstate	Feature Importance per Transition
plot.aj_estimate	Plot Aalen-Johansen Estimates
plot.rfmstate_diag	Plot Diagnostics
plot.rfmstate_importance	Plot Feature Importance
plot.rfmstate_pred	Plot RF Multistate Predictions
plot_transition_diagram	Plot Transition Diagram
predict.rfmstate	Predict Entry-Conditioned State Probabilities
prepare_data	Prepare Data for Multistate Analysis
print.aj_estimate	Print RFmstate Result Objects
print.msdata	Print Prepared Multistate Data
print.mstate_structure	Print a Multistate Structure
print.rfmstate	Print RFmstate Result Objects
print.rfmstate_diag	Print RFmstate Result Objects
print.rfmstate_importance	Print RFmstate Result Objects
print.rfmstate_pred	Print RFmstate Result Objects
print.summary.rfmstate	Print RFmstate Result Objects
print.trans_prob	Print RFmstate Result Objects
print_rfmstate_objects	Print RFmstate Result Objects
RFmstate	RFmstate: Random Forest-Based Multistate Survival Analysis
rfmstate	Fit Clock-Reset Random-Forest Multistate Models
sim_clinical_data	Simulate Clinical Trial Multistate Data
summary.rfmstate	Summary of Random Forest Multistate Model