Nonparametric Analysis of Clustered Multistate Processes


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Documentation for package ‘clusteredMSM’ version 0.1.0

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ci_cloglog Pointwise Confidence Intervals via Complementary Log-Log Transformation
cluster_boot Generic Cluster Bootstrap Engine
confidence_band Simultaneous Confidence Band via Cluster-Bootstrap Quantile
cut_at_lm Truncate a Long-Format Multistate Dataset at a Landmark Time
example_msm Synthetic Clustered Illness-Death-with-Recovery Data
fit_chaz Fit Cox Model Stratified by Transition and Return Cumulative Hazards
intervals_to_long Convert Validated Interval Data to Long Multistate Format
ks_pvalue Two-Sample Kolmogorov-Smirnov-Type Test via Cluster Bootstrap
msm Construct a Multistate Interval Object for Use in patp() Formulas
patp Population-Averaged Transition Probabilities for Multistate Process Data
print.patp Print Method for patp Objects
prodint_AJ Aalen-Johansen Product Integral for General Multistate Processes
state_at Identify Each Subject's State at a Given Time
summary.patp Summary Method for patp Objects
trans_mat Build a Transition Matrix for a Multistate Process