SemiCompRisks-package: Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.
Description
The package provides following Bayesian frameworks to analyze semi-competing risks/univariate survival data:
1) Bayesian semi-parametric model for analysis of semi-competing risks data,
2) Bayesian parametric model for analysis of semi-competing risks data,
3) Bayesian semi-parametric model for analysis of univariate right censored survival data,
4) Bayesian parametric model for analysis of univariate right censored survival dataDetails
The package includes following functions:
ll{
BayesID The function to fit Bayesian illness-death models to semi-competing risks data
BayesSurv The function to fit Bayesian parametric and semi-parametric regression models
to univariate survival data
ehr The function to calculate the conditional explanatory hazard ratio (EHR)
simID The function to simulate semi-competing risks data under Weibull model
simSurv The function to simulate right censored survival data under Weibull model
}
ll{
Package: SemiCompRisks
Type: Package
Version: 1.0
Date: 2013-12-21
License: GPL (>= 2)
LazyLoad: yes
}References
Lee, K. H., Haneuse, S., Schrag, D., and Dominici, F. (2013).
Bayesian Semi-parametric Analysis of Semi-competing Risks Data:
Estimating Readmission Rates among Pancreatic Cancer Patients, submitted.