sestelo/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.

Getting started

Package details

AuthorLuis Meira-Machado, Marta Sestelo and Gustavo Soutinho
MaintainerMarta Sestelo <[email protected]>
LicenseGPL-3
Version1.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sestelo/survidm")
sestelo/survidm documentation built on Jan. 11, 2019, 1:59 a.m.