Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data


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Documentation for package ‘SemiCompRisks’ version 3.4

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SemiCompRisks-package Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.
BayesID Old functions
BayesID_AFT The function to implement Bayesian parametric and semi-parametric analyses for semi-competing risks data in the context of accelerated failure time (AFT) models.
BayesID_HReg The function to implement Bayesian parametric and semi-parametric analyses for semi-competing risks data in the context of hazard regression (HReg) models.
BayesSurv Old functions
BayesSurv_AFT The function to implement Bayesian parametric and semi-parametric analyses for univariate survival data in the context of accelerated failure time (AFT) models.
BayesSurv_HReg The function to implement Bayesian parametric and semi-parametric regression analyses for univariate time-to-event data in the context of hazard regression (HReg) models.
BMT Data on 137 Bone Marrow Transplant Patients
CIBMTR Center for International Blood and Bone Marrow Transplant Research (CIBMTR) data
CIBMTR_Params Estimates for model parameters from semi-competing risks analysis of the CIBMTR data using Weibull illness-death model.
coef.Bayes_AFT Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
coef.Bayes_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
coef.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
FreqID Old functions
FreqID_HReg The function to fit parametric Weibull models for the frequentist anlaysis of semi-competing risks data.
FreqSurv Old functions
FreqSurv_HReg The function to fit parametric Weibull models for the frequentist analysis of univariate survival data.
initiate.startValues Old functions
initiate.startValues_AFT The function that initiates starting values for a single chain.
initiate.startValues_HReg The function that initiates starting values for a single chain.
plot.pred.Bayes_AFT Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
plot.pred.Bayes_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
plot.pred.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
PPD Function to predict the joint probability involving two event times in Bayesian illness-death models
predict.Bayes_AFT Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
predict.Bayes_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
predict.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
print.Bayes_AFT Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
print.Bayes_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
print.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
print.summ.Bayes_AFT Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
print.summ.Bayes_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
print.summ.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
scrData A simulated clustered semi-competing risks data set
SemiCompRisks Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.
simID The function that simulates independent/cluster-correlated semi-competing risks data under semi-Markov Weibull/Weibull-MVN models.
simSurv The function that simulates independent/cluster-correlated right-censored survival data under Weibull/Weibull-Normal model.
summary.Bayes_AFT Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
summary.Bayes_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
summary.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.
survData A simulated clustered univariate survival data.
vcov.Freq_HReg Methods for objects of classes, 'Bayes_HReg'/'Bayes_AFT'/'Freq_HReg'.