R: Nonparametric Analysis of Clustered Multistate Processes

# Nonparametric Analysis of Clustered Multistate Processes

## Documentation for package ‘clusteredMSM’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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