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 Christoffersen [cre, aut], Mark Clements [cph], Alan Genz [cph], Frank Bretz [cph], Torsten Hothorn [cph], R-core [cph] Maintainer: Benjamin Christoffersen <boennecd at gmail.com> 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mmcif to link to this page.
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