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mmcif  

Mixed Multivariate Cumulative Incidence Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mmcif", "0.1.1")



Attach the package and use:
library("mmcif")
Maintained by
Benjamin Christoffersen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-27
Latest Update: 2025-09-01
Description:
Fits the mixed cumulative incidence functions model suggested by which decomposes within cluster dependence of risk and timing. The estimation method supports computation in parallel using a shared memory C++ implementation. A sandwich estimator of the covariance matrix is available. Natural cubic splines are used to provide a flexible model for the cumulative incidence functions.
How to cite:
Benjamin Christoffersen (2022). mmcif: Mixed Multivariate Cumulative Incidence Functions. R package version 0.1.1, https://cran.r-project.org/web/packages/mmcif. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 0.1.0 (2022-06-27 09:40), 0.1.1 (2022-07-17 22:50)
Other packages that cited mmcif R package
View mmcif citation profile
Other R packages that mmcif depends, imports, suggests or enhances
Complete documentation for mmcif
Functions, R codes and Examples using the mmcif R package
Some associated functions: log_chol . mmcif_data . mmcif_fit . mmcif_logLik . mmcif_pd_cond . mmcif_pd_univariate . mmcif_sandwich . mmcif_start_values . 
Some associated R codes: RcppExports.R . catch-routine-registration.R . log_chol.R . mmcif-package.R . mmcif-pd.R . mmcif.R . monotone-ns.R .  Full mmcif package functions and examples
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