Empirical likelihood analysis for Yang and Prentice model


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Documentation for package ‘ELYP’ version 0.5-1

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findL3 Find the Wilks Confidence Interval Lower Bound from the Given Empirical Likelihood Ratio Function
findU2d Find the Wilks Confidence Interval Upper Bound from the Given 2-d Empirical Likelihood Ratio Function
findU3 Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function
fitYP3 Compute Baseline Hazard for the Given Data, Given Parameters beta1, beta2, lam, fun. Also, Given the Baseline, Compute the empirical likelihood value.
fitYP4 Compute Alpha and Baseline Hazard for the Given Data, Given Parameters beta1, beta2. Also, compute the empirical likelihood value.
fitYP41 Compute the Baseline Hazard for the Given Data, Given Parameters beta1, beta2. Also, compute the empirical likelihood value.
GastricCancer Gastric Cancer Data
myLLfun Compute Baseline Hazard for the Given Data and Parameters beta1, beta2, lam. Also Compute the empirical likelihood value.
simuDataYP Generate random times that follow the YP model with the Given Parameters th1, th2, and alphaX.
smallcell Smallcell Lung Cancer Data