DeclareDesign 0.24.0

Add new step declare_measurement for measuring outcome variables.
Add declare_test to enable hypothesis testing where no estimand is targeted. For example, declare_test could be used for a K-S test of distributional equality and declare_estimator for a difference-in-means estimate of an average treatment effect.
Add model_summary option to declare_estimator, to enable specifying a model and then a separate post-estimation function to extract coefficient estimates (e.g., estimate of a treatment effect) or model summary statistics (e.g., R^2 or the result of an F-test from a regression).
Simplify declare_diagnosands functionality. diagnose_design() by default runs an internal function with a set of default diagnosands, including power, RMSE, bias, type S rate, coverage, mean estimate, and mean estimand.
Improve compatibility with dplyr verbs as handlers. filter now works.
Rename declare_reveal to reveal_outcomes. Both continue to work.

DeclareDesign 0.22.0

Fix ability to set sampling_variable in declare_sampling.
Add ability to retain nonsampled data after sampling via drop_nonsampled flag in declare_sampling.

Add compare_diagnoses function to compare two designs on the basis of their design diagnoses.
Compatibility with rlang 0.4.0
Bug fixes

Add compare_designs functions to compare the code and output of designs side-by-side.
Bug fixes

Add draw_assignment function to draw an assignment vector(s) given data
Add draw_sample function to draw a sample or multiple sequential samples from data
Rewrite draw_data to optionally take a data argument. draw_data now can be used to draw data for the full design, or for subsets of it. start and end flags are added to select which portions of the design to run
Bug fixes

Add ability to use get_estimates with data, useful for example for getting estimates after data is collected for a study. To draw estimates or estimands from simulated data, now use renamed draw_estimates and draw_estimands functions.
Documentation improvements
Bug fixes