Estimate Recurrent Event Burden with Competing Risks
Auto-plot method for mcc objects
Compare mcc objects
Filter mcc object by groups
Add Reference Lines at an MCC Threshold to ggplot2 Objects
Get Time When MCC Reaches a Specific Threshold
Check if mcc object is from grouped analysis
Check if object is an mcc result
Check if mcc object uses weighted estimation
Extract calculation details from mcc objects
Calculate Mean Cumulative Count using the equation method
Extract MCC estimates from mcc objects
Get final MCC value for each group
Get grouping variable name from grouped mcc object
Extract unique groups from grouped mcc object
Get the method used for MCC calculation
Calculate Mean Cumulative Count using the Sum of Cumulative Incidence ...
Calculate Mean Cumulative Count (MCC)
mccount: Estimate Recurrent Event Burden with Competing Risks
Plot MCC results
Print method for MCC comparison objects
Print method for mcc objects
Print method for mcc summary objects
Summary method for mcc objects
Convert objects to mcc class
Convert mcc object to data.frame
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.
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