pretest_posttest_designer {DesignLibrary} | R Documentation |
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
)
N |
An integer. Size of sample. |
ate |
A number. Average treatment effect. |
sd_1 |
Nonnegative number. Standard deviation of period 1 shocks. |
sd_2 |
Nonnegative number. Standard deviation of period 2 shocks. |
rho |
A number in [-1,1]. Correlation in outcomes between pre- and post-test. |
attrition_rate |
A number in [0,1]. Proportion of respondents in pre-test data that appear in post-test data. |
args_to_fix |
A character vector. Names of arguments to be args_to_fix in design. |
See vignette online.
A pretest-posttest design.
# Generate a pre-test post-test design using default arguments:
pretest_posttest_design <- pretest_posttest_designer()