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: 1.2.0
Depends: R (≥ 3.0.0)
Imports: KernSmooth, np, survival, doParallel, parallel, doRNG, foreach, TPmsm
Published: 2019-01-07
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_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: survidm_1.2.0.tgz, r-oldrel: survidm_1.2.0.tgz
Old sources: survidm archive


Please use the canonical form to link to this page.