R: Time Varying Mediation Analysis

# Time Varying Mediation Analysis

## Documentation for package ‘tvmediation’ version 1.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bootci_coeff_2trt | Bootstrap function for computing CIs for coefficients for a continuous outcome and two treatment groups
bootci_coeff_3trt | Bootstrap samples to estimate confidence intervals for coefficients for a continuous outcome and three treatment groups.
bootci_coeff_binary | Bootstrap samples to estimate confidence intervals for binary outcome coefficients.
bootci_tvmb | Bootstrap samples to estimate confidence intervals for the mediation effect for a binary outcome.
bootci_tvm_3trt | Bootstrap samples to estimate confidence intervals for continuous outcome and three treatment groups.
coeff | Function to estimate coefficients at time t
estBootCIs | Bootstrapping samples to estimate mediation effects confidence intervals for continuous outcome and two treatment (exposure) groups.
estCoeff | Function to estimate coefficients at time t.
LongToWide | Function to transpose the data from long to wide format
newMediatorOutcome | Function to compute new Mediator and Outcome using time t and t-1 mean centered on the individual.
smoker | Wisconsin Smokers' Health Study 2
smoothest | Function to compute local polynomial estimation using rule of thumb for bandwidth selection
tvma | Time Varying Mediation Function: Continuous Outcome and Two Treatment Groups
tvma_3trt | Time Varying Mediation Function: Continuous Outcome and Three Treatment Groups
tvmb | Time Varying Mediation Function: Binary Outcome and Two Treatment Groups
tvmcurve_3trt | Main function for time varying mediation function for continuous outcome and three treatment arms (i.e., exposure groups).