Empirical Likelihood Analysis for the Cox Model and Yang-Prentice (2005) Model

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Documentation for package ‘ELYP’ version 0.7-5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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BJfindL2	Find the Wilks Confidence Interval Lower Bound for Betafun from the 2 dimensional Buckley-James Empirical Likelihood Ratio Function
BJfindU2	Find the Wilks Confidence Interval Upper Bound for Betafun from the 2 dimensional Buckley-James Empirical Likelihood Ratio Function
CoxEL	Compute Empirical Likelihood and Partial Likelihood of Cox model for Testing the beta and Baseline Jointly.
CoxFindL2	Find the Wilks Confidence Interval Lower Bound for Efun based on the Empirical Likelihood Ratio Function CoxEL
CoxFindL3	Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function
CoxFindU2	Find the Wilks Confidence Interval Upper Bound for Efun from the Empirical Likelihood Ratio Function CoxEL( ).
CoxFindU3	Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function
ELrange	Find the Ractangular parameter region where EL is Only 4 below the Maximum Value.
findL2d	Find the Wilks Confidence Interval Lower Bound from the Given 2-d Empirical Likelihood Ratio Function
findL3	Find the Wilks Confidence Interval Lower Bound from the Given Empirical Likelihood Ratio Function
findL4	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
findU32	Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function
findU4	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, and 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.
myLLfun2	Compute Baseline Hazard for the Given Data and Parameters beta1, beta2, alpha, lam. Also Compute the empirical likelihood value.
Pfun	The Hazard Ratio in YP Model as a Function of beta1 beta2 and Mulam.
Pfun2	The Hazard Ratio in YP Model as a Function of beta1, beta2, a, X, and Mulam.
simuDataYP	Generate random times that follow the YP model with the Given Parameters th1, th2, and alphaX.
smallcell	Smallcell Lung Cancer Data