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.


survidm is an R package which introduces 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.

Installation

survidm is available through both CRAN and GitHub.

Get the released version from CRAN:

install.packages("survidm")

Or the development version from GitHub:

# install.packages("devtools")
devtools::install_github("sestelo/survidm")

News

Reference manual

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install.packages("survidm")

1.3.1 by Marta Sestelo, 11 days ago


Browse source code at https://github.com/cran/survidm


Authors: Luis Meira-Machado , Marta Sestelo and Gustavo Soutinho


Documentation:   PDF Manual  


GPL-3 license


Imports KernSmooth, np, survival, doParallel, parallel, doRNG, foreach, TPmsm, Rcpp, ggplot2, gridExtra, plotly

Linking to Rcpp


See at CRAN