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cifmodeling
View on CRAN: Click
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Download and install cifmodeling package within the R console
Install from CRAN:
install.packages("cifmodeling")
Install from Github:
library("remotes")
install_github("cran/cifmodeling") Install by package version:
library("remotes")
install_version("cifmodeling", "1.0.0") Attach the package and use:
library("cifmodeling")
Maintained by
Shiro Tanaka
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-18
Latest Update: 2025-12-18
Description:
A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-event marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsummary', 'broom', and the broader 'tidyverse' ecosystem. Key numerical routines are implemented in C++ via 'Rcpp'.
How to cite:
Shiro Tanaka (2025). cifmodeling: Visualization and Polytomous Modeling of Survival and Competing Risks. R package version 1.0.0, https://cran.r-project.org/web/packages/cifmodeling. Accessed 25 Oct. 2026.
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