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IntervalCensoredMultistateR2: Regression Analysis in Interval-Censored Multistate Models

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) <doi:10.1002/sim.10079>.

Version: 1.0.0
Depends: R (≥ 3.6.0)
Imports: Rcpp (≥ 1.0.11)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2026-08-06
DOI: 10.32614/CRAN.package.IntervalCensoredMultistateR2
Author: Lu You [aut, cre]
Maintainer: Lu You <lu.you at epi.usf.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: IntervalCensoredMultistateR2 results

Documentation:

Reference manual: IntervalCensoredMultistateR2.html , IntervalCensoredMultistateR2.pdf

Downloads:

Package source: IntervalCensoredMultistateR2_1.0.0.tar.gz
Windows binaries: r-devel: IntervalCensoredMultistateR2_1.0.0.zip, r-release: IntervalCensoredMultistateR2_1.0.0.zip, r-oldrel: IntervalCensoredMultistateR2_1.0.0.zip
macOS binaries: r-release (arm64): IntervalCensoredMultistateR2_1.0.0.tgz, r-oldrel (arm64): IntervalCensoredMultistateR2_1.0.0.tgz, r-release (x86_64): IntervalCensoredMultistateR2_1.0.0.tgz, r-oldrel (x86_64): IntervalCensoredMultistateR2_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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