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SemiCompRisks (version 2.0)

Parametric and semi-parametric analysis of semi-competing risks data

Description

This package contains algorithms to perform various types of parametric and semi-parametric analyses of semi-competing risks data. We also provide functions to fit survival regression models to univariate time-to-event outcome.

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Version

Install

install.packages('SemiCompRisks')

Monthly Downloads

386

Version

2.0

License

GPL (>= 2)

Maintainer

Kyu Lee

Last Published

February 7th, 2015

Functions in SemiCompRisks (2.0)

simID

The function to simulate semi-competing risks data under Weibull model
scrCorData

A simulated clustered semi-competing risks data set
SemiCompRisks-package

Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.
BayesSurv

The function to perform Bayesian parametric and semi-parametric regression analysis for univariate time-to-event data.
BayesSurvcor

The function to perform Bayesian parametric and semi-parametric regression analysis for cluster-correlated univariate time-to-event data.
survData

Simulated survival data using simSurv function.
ehr

The function to calculate the conditional explanatory hazard ratio (EHR)
BayesIDcor

The function to fit parametric and semi-parametric hierarchical models to cluster-correlated semi-competing risks data.
methods

Methods for objects of classes, BayesSurv/BayesSurvcor/BayesID/BayesIDcor
BayesID

The function to fit parametric and semi-parametric hierarchical models to semi-competing risks data.
simSurv

The function to simulate right censored survival data under Weibull model
BMT

Data on 137 Bone Marrow Transplant Patients
scrData

Simulated semi-competing risks data using simID function.