Causal Inference in Experiments with Mixed-Subjects Designs

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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