doi:10.1093/biostatistics/kxx072> 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.">

mmcif: Mixed Multivariate Cumulative Incidence Functions (original) (raw)

Fits the mixed cumulative incidence functions model suggested by <doi:10.1093/biostatistics/kxx072> 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.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, stats, alabama
LinkingTo: Rcpp, RcppArmadillo, testthat, psqn
Suggests: testthat (≥ 3.0.0), xml2, mvtnorm, R.rsp, mets
Published: 2022-07-17
DOI: 10.32614/CRAN.package.mmcif
Author: Benjamin ChristoffersenORCID iD [cre, aut], Mark Clements [cph], Alan Genz [cph], Frank Bretz [cph], Torsten Hothorn [cph], R-core [cph]
Maintainer: Benjamin Christoffersen
BugReports: https://github.com/boennecd/mmcif/issues
License: GPL (≥ 3)
URL: https://github.com/boennecd/mmcif
NeedsCompilation: yes
SystemRequirements: C++17
Materials: NEWS
In views: Survival
CRAN checks: mmcif results [issues need fixing before 2025-10-31]

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