Estimates regression coefficients in proportional hazards models
for interval-censored multistate data. Individuals may be observed at
irregular times and their states may be partially observed. Allowable
transitions and transition-specific covariate effects can be specified.
The numerical estimation is implemented in 'C++' using 'RcppArmadillo'.
The method implemented in this package is described in You, Liu, and
Krischer (2024)
IntervalCensoredMultistateR2 estimates proportional-hazards regression
models for interval-censored single-event, competing-risks, and multistate
data. The estimator is implemented with RcppArmadillo and does not require
Julia or JuliaCall.
install.packages(c("Rcpp", "RcppArmadillo"))
install.packages("IntervalCensoredMultistateR2_1.0.0.tar.gz", repos = NULL,
type = "source")
Windows source installation requires Rtools. See the help pages for
fit_single_event(), fit_competing_risks(), and fit_multistate() for the
input formats and examples.