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
Author:	Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho
Maintainer:	Marta Sestelo <sestelo at uvigo.es>
License:	GPL-3
NeedsCompilation:	yes
Materials:	README
CRAN checks:	survidm results

Documentation:

Reference manual:

survidm.pdf

Downloads:

Package source:	survidm_1.3.2.tar.gz
Windows binaries:	r-devel: survidm_1.3.2.zip, r-release: survidm_1.3.2.zip, r-oldrel: survidm_1.3.2.zip
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

Reverse dependencies:

Reverse imports:

markovMSM

Linking:

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