designrbi

Overview

designrbi is an R package for conducting statistical inference on randomized experiments using the randomization-based framework. It offers a series of helpful functions.

• experiment_to_schedule() will transform the data from an experiment into a schedule of potential outcomes with the missing outcomes showing up as NA.
• impute_unobserved() will impute the missing potential outcomes in a schedule using a constant effect of your choice.
• sim_experiment() will simulate one or more experiments based on a given schedule of potential outcomes.
• as_schedule() will take a pre-existing data frame with all of the potential outcomes present and convert it into a schedule object.

Installation

Install the package directly from github using the remotes package.

# install.packages("remotes")
library(remotes)
install_github("andrewpbray/designrbi")

See the Articles link in the top menu for guidance on how to use the package.