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MDCcure  

Martingale Dependence Tools and Testing for Mixture Cure Models
View on CRAN: Click here


Download and install MDCcure package within the R console
Install from CRAN:
install.packages("MDCcure")

Install from Github:
library("remotes")
install_github("cran/MDCcure")

Install by package version:
library("remotes")
install_version("MDCcure", "0.1.0")



Attach the package and use:
library("MDCcure")
Maintained by
Blanca Monroy-Castillo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-23
Latest Update: 2025-07-23
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) <doi:10.1080/01621459.2014.887012>. 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).
How to cite:
Blanca Monroy-Castillo (2025). MDCcure: Martingale Dependence Tools and Testing for Mixture Cure Models. R package version 0.1.0, https://cran.r-project.org/web/packages/MDCcure. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Complete documentation for MDCcure
Functions, R codes and Examples using the MDCcure R package
Full MDCcure package functions and examples
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