R: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators

# Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators

## Documentation for package ‘curesurv’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

AIC.curesurv | Akaike's An Information Criterion for cure models
anova.curesurv | anova.curesurv function for likelihood-ratio test of two nested models from curesurv function
cumLexc_mul | cumLexc_mul function
curesurv | Fitting cure models using curesurv
dataweib | Simulated data with vital status information from Weibull mixture cure model
pancreas_data | Simulated pancreas data with vital status information
plot.predCuresurv | plot method for curesurv prediction objects
predict.curesurv | Prediction for a curesurv cure model
print.curesurv | print a curesurv object
summary.curesurv | summary for a curesurv cure model
testiscancer | Simulated testis cancer data using a cure model
z_alpha | z_alpha function identifying variables acting on alpha parameter
z_tau | z_tau function identifying variables acting on tau parameter