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Provides statistical tools for analyzing net and relative survival, with a key feature of relaxing the assumption of independent censoring and incorporating the effect of dependent competing risks. It employs a copula-based methodology, specifically the Archimedean copula, to simulate data, conduct survival analysis, and offer comparisons with other methods. This approach is detailed in the work of Adatorwovor et al. (2022) <doi:10.1515/ijb-2021-0016>.
Version: | 1.0.0 |
Imports: | methods, Rcpp, Rmpfr, copula, gplots, ggplot2, viridis, sqldf, data.table, relsurv |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown, markdown |
Published: | 2025-01-21 |
DOI: | 10.32614/CRAN.package.dMrs |
Author: | Reuben Adatorwovor [aut], Paul Little [cre] |
Maintainer: | Paul Little <pllittle321 at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | dMrs results |
Reference manual: | dMrs.pdf |
Vignettes: |
Getting familiar with ProjectH (source, R code) |
Package source: | dMrs_1.0.0.tar.gz |
Windows binaries: | r-devel: dMrs_1.0.0.zip, r-release: not available, r-oldrel: dMrs_1.0.0.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): dMrs_1.0.0.tgz, r-oldrel (x86_64): not available |
Please use the canonical form https://CRAN.R-project.org/package=dMrs 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.
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