Nothing
quo_get_env() with the exported get_env() in aaa.R and declare_potential_outcomes.R. The unexported function caused test failures on CRAN when rlang updated its export list.enquo() with substitute() in +.dd to correctly capture step expressions under the new rlang C API. Thanks to Lionel Henry (@lionel-) for the fix.CausalQueries, rdrobust, and rdss to Suggests to satisfy CRAN dependency checks for tests that use those packages.print.design() output: clearer labels, deduplication of parameter names across environments, and truncation of long values in the printed parameter table.select_diagnosands() documentation showing use of the alpha argument.declare_model for defining the model of the world including sample size, levels of the data, and variables. declare_inquiry to replace declare_estimand. declare_estimand is still available but deprecated.reveal_outcomes, created in 0.24.0, has been removed as a step.run_design output to be inquiry_label rather than estimand_label. declare_measurement for measuring outcome variables. 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.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).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.filter now works. declare_reveal to reveal_outcomes. Both continue to work.sampling_variable in declare_sampling. drop_nonsampled flag in declare_sampling.compare_diagnoses function to compare two designs on the basis of their design diagnoses. rlang 0.4.0compare_designs functions to compare the code and output of designs side-by-side. draw_assignment function to draw an assignment vector(s) given datadraw_sample function to draw a sample or multiple sequential samples from datadraw_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 runget_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.Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.