R: Causal Inference in Experiments with Mixed-Subjects Designs

# Causal Inference in Experiments with Mixed-Subjects Designs

## Documentation for package ‘mixedsubjects’ version 1.0.0

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

## Help Pages

bootstrap_variance | Variance Estimation for Mixed-Subjects Design
compare_variance_methods | Compare variance estimates across methods
estimate_all | Estimate all available estimators
msd_data | Data Preparation for Mixed-Subjects Design
msd_dim | Difference-in-Means Estimator
msd_dip | DiP (Difference-in-Predictions) Estimator
msd_dip_pp | DiP++ Estimator
msd_dt | D-T (Doubly-Tuned) Estimator
msd_dt_dip | D-T DiP (Doubly-Tuned Difference-in-Predictions) Estimator
msd_greg | GREG Estimator
msd_ppi | PPI++ Estimator
optimal_design | Optimal Design for Mixed-Subjects Experiments
print.msd_data | Print method for msd_data
print.msd_design | Print method for msd_design
print.msd_result | Print method for msd_result
print.msd_summary | Print method for msd_summary
print.summary.msd_result | Print method for summary.msd_result
summary.msd_design | Summary method for msd_design
summary.msd_result | Summary method for msd_result