survidm: Inference and Prediction in an Illness-Death Model

Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.

Version: 1.3.2
Depends: R (≥ 3.0.0)
Imports: KernSmooth, np, survival, doParallel, parallel, doRNG, foreach, TPmsm, Rcpp, ggplot2, gridExtra, plotly
LinkingTo: Rcpp
Published: 2021-06-24
DOI: 10.32614/CRAN.package.survidm
Author: Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho
Maintainer: Marta Sestelo <sestelo at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: survidm results


Reference manual: survidm.pdf


Package source: survidm_1.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): survidm_1.3.2.tgz, r-oldrel (arm64): survidm_1.3.2.tgz, r-release (x86_64): survidm_1.3.2.tgz, r-oldrel (x86_64): survidm_1.3.2.tgz
Old sources: survidm archive


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