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
)

## Arguments

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. |

## Value

A pretest-posttest design.

## Details

See vignette online.

## Author

DeclareDesign Team

## Examples

# Generate a pre-test post-test design using default arguments:
pretest_posttest_design <- pretest_posttest_designer()