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Calculates mean cumulative count (MCC) to estimate the expected cumulative number of recurrent events per person over time in the presence of competing risks and censoring. Implements both the Dong-Yasui equation method and sum of cumulative incidence method described in Dong, et al. (2015) <doi:10.1093/aje/kwu289>. Supports inverse probability weighting for causal inference as outlined in Gaber, et al. (2023) <doi:10.1093/aje/kwad031>. Provides S3 methods for printing, summarizing, plotting, and extracting results. Handles grouped analyses and integrates with 'ggplot2' <https://ggplot2.tidyverse.org/> for visualization.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cards, cli, cmprsk, data.table, dplyr, glue, lifecycle, rlang, stringr, tibble, tidyr |
| Suggests: | boot, ggplot2 (≥ 3.5.0), knitr, MatchIt, mstate, optmatch, patchwork, rmarkdown, spelling, survival, testthat (≥ 3.0.0), WeightIt, withr |
| Published: | 2025-11-13 |
| DOI: | 10.32614/CRAN.package.mccount (may not be active yet) |
| Author: | Kenneth A. Taylor |
| Maintainer: | Kenneth A. Taylor <kenneth.taylor.dpt at gmail.com> |
| BugReports: | https://github.com/KennethATaylor/mccount/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/KennethATaylor/mccount, https://kennethataylor.github.io/mccount/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | mccount results |
| Reference manual: | mccount.html , mccount.pdf |
| Vignettes: |
Choosing Between Methods (source, R code) Estimating MCC After Matching or Weighting (source, R code) |
| Package source: | mccount_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): mccount_0.1.1.tgz, r-oldrel (arm64): mccount_0.1.1.tgz, r-release (x86_64): mccount_0.1.1.tgz, r-oldrel (x86_64): mccount_0.1.1.tgz |
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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.