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cfdecomp
View on CRAN: Click
here
Download and install cfdecomp package within the R console
Install from CRAN:
install.packages("cfdecomp")
Install from Github:
library("remotes")
install_github("cran/cfdecomp") Install by package version:
library("remotes")
install_version("cfdecomp", "0.4.0") Attach the package and use:
library("cfdecomp")
Maintained by
Maarten Jacob Bijlsma
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-18
Latest Update: 2021-08-11
Description:
Provides a set of functions for counterfactual decomposition (cfdecomp). The functions available in this package decompose differences in an outcome attributable to a mediating variable (or sets of mediating variables) between groups based on counterfactual (causal inference) theory. By using Monte Carlo (MC) integration (simulations based on empirical estimates from multivariable models) we provide added flexibility compared to existing (analytical) approaches, at the cost of computational power or time. The added flexibility means that we can decompose difference between groups in any outcome or and with any mediator (any variable type and distribution). See Sudharsanan & Bijlsma (2019) for more information.
How to cite:
Maarten Jacob Bijlsma (2020). cfdecomp: Counterfactual Decomposition: MC Integration of the G-Formula. R package version 0.4.0, https://cran.r-project.org/web/packages/cfdecomp. Accessed 29 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for cfdecomp
Functions, R codes and Examples using
the cfdecomp R package
Some associated functions: cfd.FUN . cfd.example.data . cfd.mean . cfd.quantile . cfd.semipar.mean . cfd.semipar.quantile . cluster.resample . conv.mean .
Some associated R codes: cfd.FUN.R . cfd.example.data.R . cfd.mean.R . cfd.quantile.R . cfd.semipar.mean.R . cfd.semipar.quantile.R . cluster.resample.R . conv.mean.R . Full cfdecomp package functions and examples
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