# Code From Papers

## Sampling ratio for multilevel SEM

Here is R code used for Monte Carlo simulations. This relies heavily on the MplusAutomation package in R. An example Mplus input file for part 1: data generation can be found here, while an example Mplus input file for part 2: data analysis can be found here. For the illustrative example, the doubly latent model can be estimated in both Mplus and R using this data.

## Moderated nonlinear factor analysis for SEM

Here is R code used for all steps of conducting moderated nonlinear factor analysis using example data.

## Propensity score matching and weighting

This provides R code for a series of Monte Carlo simulations comparing propensity score matching and weighting methods for achieving covcariate balance in observational studies, with an interest on varying levels of treatment exposure.

## Statistical power for cluster randomized trials

Here is R code used to conduct a Monte Carlo simulation of statistical power for cluster randomized controlled trials with clusters of varying size.

## Example: Missing data

This provides an example of R code to handle missing data (see the PDF version here , as well as the background reading).

## Example: Propensity score matching and weighting

This provides an example of R code using matching and weighting for causal inference (see the PDF version here).