Counterfactual Decomposition: MC Integration of the G-Formula
Flexible Function Decomposition: decompose any function that returns a...
Mean Decomposition: parametric version
Quantile Decomposition: parametric version
Mean Decomposition: semiparametric version
Quantile Decomposition: semiparametric version
Cluster Resampling: resampling long format longitudinal or otherwise c...
Running mean function
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) <doi:10.4054/MPIDR-WP-2019-004> for more information.