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SemiCompRisks (version 2.2)
Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Description
Parametric and semi-parametric analyses of semi-competing risks/univariate survival data.
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Install
install.packages('SemiCompRisks')
Monthly Downloads
283
Version
2.2
License
GPL (>= 2)
Maintainer
Kyu Lee
Last Published
September 1st, 2015
Functions in SemiCompRisks (2.2)
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BMT
Data on 137 Bone Marrow Transplant Patients
simSurv
The function that simulates independent/cluster-correlated right-censored survival data under Weibull/Weibull-Normal model.
BayesID
The function to implement Bayesian parametric and semi-parametric analyses for semi-competing risks data.
FreqID
The function to fit parametric Weibull models for the frequentist anlaysis of semi-competing risks data.
BayesSurv
The function to implement Bayesian parametric and semi-parametric regression analyses for univariate time-to-event data.
SemiCompRisks-package
Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.
methods
Methods for objects of classes,
Bayes
/
Freq
.
initiate.startValues
The function that initiates starting values for a single chain.
FreqSurv
The function to fit parametric Weibull models for the frequentist analysis of univariate survival data.
simID
The function that simulates independent/cluster-correlated semi-competing risks data under Weibull/Weibull-MVN model.
scrData
A simulated clustered semi-competing risks data set
survData
A simulated clustered univariate survival data.