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.">

mccount: Estimate Recurrent Event Burden with Competing Risks (original) (raw)

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
Author: Kenneth A. Taylor ORCID iD [aut, cre, cph]
Maintainer: Kenneth A. Taylor <kenneth.taylor.dpt at gmail.com>
BugReports: https://github.com/KennethATaylor/mccount/issues
License: MIT + file
URL: https://github.com/KennethATaylor/mccount,https://kennethataylor.github.io/mccount/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: mccount results

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