Martingale Dependence Tools and Testing for Mixture Cure Models

Computes martingale difference correlation (MDC), martingale difference divergence, and their partial extensions to assess conditional mean dependence. The methods are based on Shao and Zhang (2014) . Additionally, introduces a novel hypothesis test for evaluating covariate effects on the cure rate in mixture cure models, using MDC-based statistics. The methodology is described in Monroy-Castillo et al. (2025, manuscript submitted).


Reference manual

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install.packages("MDCcure")

0.1.0 by Blanca Monroy-Castillo, a year ago


https://github.com/CastleMon/MDCcure


Report a bug at https://github.com/CastleMon/MDCcure/issues


Browse source code at https://github.com/cran/MDCcure


Authors: Blanca Monroy-Castillo [aut, cre] , Amalia Jácome [aut] , Ricardo Cao [aut] , Ingrid Van Keilegom [aut] , Ursula Müller [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, RcppParallel, ggplot2, ggtext, gridExtra, future, future.apply, smcure, npcure, survival

Suggests knitr, rmarkdown, pinp

Linking to Rcpp, RcppArmadillo, RcppParallel

System requirements: GNU make, TBB


See at CRAN