The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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
|
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 |
Reference manual: | mmcif.pdf |
Vignettes: |
mmcif computational details mmcif |
Package source: | mmcif_0.1.1.tar.gz |
Windows binaries: | r-devel: mmcif_0.1.1.zip, r-release: mmcif_0.1.1.zip, r-oldrel: mmcif_0.1.1.zip |
macOS binaries: | r-release (arm64): mmcif_0.1.1.tgz, r-oldrel (arm64): mmcif_0.1.1.tgz, r-release (x86_64): mmcif_0.1.1.tgz, r-oldrel (x86_64): mmcif_0.1.1.tgz |
Old sources: | mmcif archive |
Please use the canonical form https://CRAN.R-project.org/package=mmcif to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.