Data preparation, estimation and prediction in multi-state models

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Documentation for package ‘mstate’ version 0.2.6

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mstate-package Data preparation, estimation and prediction in multi-state models
aidssi Data from the Amsterdam Cohort Studies on HIV infection and AIDS
bmt BMT data from Klein and Moeschberger
crprep Function to create weighted data set for competing risks analyses
Cuminc Calculate nonparametric cumulative incidence functions and associated standard errors
ebmt1 Data from the European Registry for Blood and Marrow Transplantation (EBMT)
ebmt2 Data from the European Registry for Blood and Marrow Transplantation (EBMT)
ebmt3 Data from the European Registry for Blood and Marrow Transplantation (EBMT)
ebmt4 Data from the European Registry for Blood and Marrow Transplantation (EBMT)
events Count number of observed transitions
expand.covs Expand covariates in dataset in long format
msboot Bootstrap function in multi-state models
msfit Compute subject-specific transition hazards with (co-)variances
msprep Function to prepare dataset for multi-state modeling in long format from dataset in wide format
mssample Sample paths through a multi-state model
mstate Data preparation, estimation and prediction in multi-state models
paths Find all possible trajectories through a given multi-state model
plot.msfit Plot method for an msfit object
plot.probtrans Plot method for a probtrans object
print.msdata Print method for a msdata object
probtrans Compute subject-specific or overall transition probabilities with standard errors
prothr Abnormal prothrombin levels in liver cirrhosis
redrank Reduced rank proportional hazards model for competing risks and multi-state models
summary.msfit Summary method for an msfit object
summary.probtrans Summary method for a probtrans object
trans.comprisk Define transition matrix for multi-state model
trans.illdeath Define transition matrix for multi-state model
transMat Define transition matrix for multi-state model