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MDCcure (version 0.1.0)

Martingale Dependence Tools and Testing for Mixture Cure Models

Description

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).

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Install

install.packages('MDCcure')

Monthly Downloads

150

Version

0.1.0

License

GPL-3

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Maintainer

Blanca Monroy-Castillo Developer

Last Published

July 23rd, 2025

Functions in MDCcure (0.1.0)

testcov2

Hypothesis test for association between covariate and cure indicator adjusted by a second covariate
mdc_test

MDC-Based Dependence Tests Between Multivariate Data and a Covariate
mdd

Martingale Difference Divergence (MDD)
testcov

Covariate Hypothesis Test of the Cure Probability based on Martingale Difference Correlation
pmdd

Partial Martingale Difference Divergence (pMDD)
goft

Goodness-of-fit tests for the cure rate in a mixture cure model
mdc

Martingale Difference Correlation (MDC)
pmdc

Partial Martingale Difference Correlation (pMDC)
plotCure

Plot Cure Probability: A Comparison of Nonparametric and Parametric Estimation