survidm: Inference and Prediction in an Illness-Death Model (original) (raw)

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
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: survidm results

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