Produces a design in which an outcome Y is observed pre- and post-treatment. The design allows for individual post-treatment outcomes to be correlated with pre-treatment outcomes and for at-random missingness in the observation of post-treatment outcomes.
pretest_posttest_designer( N = 100, ate = 0.25, sd_1 = 1, sd_2 = 1, rho = 0.5, attrition_rate = 0.1, args_to_fix = NULL )
An integer. Size of sample.
A number. Average treatment effect.
Nonnegative number. Standard deviation of period 1 shocks.
Nonnegative number. Standard deviation of period 2 shocks.
A number in [-1,1]. Correlation in outcomes between pre- and post-test.
A number in [0,1]. Proportion of respondents in pre-test data that appear in post-test data.
A character vector. Names of arguments to be args_to_fix in design.
A pretest-posttest design.
See vignette online.
# Generate a pre-test post-test design using default arguments: pretest_posttest_design <- pretest_posttest_designer()