Nonparametric Estimation in Mixture Cure Models
Performs nonparametric estimation in mixture cure models, and significance tests for the cure probability. For details, see López-Cheda et al. (2017a) <doi:10.1016/j.csda.2016.08.002> and López-Cheda et al. (2017b) <doi:10.1007/s11749-016-0515-1>.
Index of help topics:
beran Compute Beran's Estimator of the Conditional
Survival
berancv Compute the Cross-Validation Bandwidth for
Beran's Estimator of the Conditional Survival
controlpars Control Values for the Bootstrap or
Cross-validation
hpilot Compute the Pilot Bandwidth for the
Nonparametric Estimators of Cure Probability
and Latency
latency Compute Nonparametric Estimator of the
Conditional Latency
latencyhboot Compute the Bootstrap Bandwidth for the
Nonparametric Estimator of the Latency
npcure-package Nonparametric Estimation in Mixture Cure Models
print.npcure Print Method for Objects of Class 'npcure'
probcure Compute Nonparametric Estimator of the
Conditional Probability of Cure
probcurehboot Compute the Bootstrap Bandwidth for the
Nonparametric Estimator of the Cure Probability
summary.npcure Summary Method for Objects of Class 'npcure'
testcov Covariate Significance Test of the Cure
Probability
testmz Test of Maller-ZhouIgnacio López-de-Ullibarri [aut, cre], Ana López-Cheda [aut], Maria Amalia Jácome [aut]
López-Cheda, A., Cao, R., Jácome, M. A., Van Keilegom, I. (2017). Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models. Computational Statistics & Data Analysis 105: 144–165. https://doi.org/10.1016/j.csda.2016.08.002.
López-Cheda, A., Jácome, M. A., Cao, R. (2017). Nonparametric latency estimation for mixture cure models. Test, 26: 353–376. https://doi.org/10.1007/s11749-016-0515-1.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.