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# bayestestR 0.2.2 ## Breaking changes - `equivalence_test`: returns capitalized output (e.g., `Rejected` instead of `rejected`) - `describe_posterior.numeric`: `dispersion` defaults to FALSE for consistency with the other methods ## New functions / features - `pd_to_p` and `p_to_pd`: Functions to convert between probability of direction (pd) and p-value - Support of `emmGrid` objects: `ci`, `rope`, `bayesfactor_savagedickey`, `describe_posterior`, ... ## Minor changes - Improved tutorial 2 ## Bug fixes - `describe_posterior`: Fixed column order restoration - `bayesfactor_inclusion`: Inclusion BFs for matched models are more inline with JASP results. # bayestestR 0.2.0 ## Breaking changes - plotting functions now require the installation of the `see` package - `estimate` argument name in `describe_posterior` and `point_estimate` changed to `centrality` - `hdi()`, `ci()`, `rope()` and `equivalence_test()` default `ci` to `0.89` - `rnorm_perfect()` deprecated in favour of `distribution_normal()` - `map_estimate()` now returns a single value instead of a dataframe and the `density` parameter has been removed. The MAP density value is now accessible via `attributes(map_output)$MAP_density` ## New functions / features - `describe_posterior()`, `describe_prior()`, `diagnostic_posterior()`: added wrapper function - `point_estimate()` added function to compute point estimates - `p_direction()`: new argument `method` to compute pd based on AUC - `area_under_curve()`: compute AUC - `distribution()` functions have been added - `bayesfactor_savagedickey()`, `bayesfactor_models()` and `bayesfactor_inclusion()` functions has been added - Started adding plotting methods (currently in the [`see`](https://github.com/easystats/see) package) for `p_direction()` and `hdi()` - `probability_at()` as alias for `density_at()` - `effective_sample()` to return the effective sample size of Stan-models - `mcse()` to return the Monte Carlo standard error of Stan-models ## Minor changes - Improved documentation - Improved testing - `p_direction()`: improved printing - `rope()` for model-objects now returns the HDI values for all parameters as attribute in a consistent way - Changes legend-labels in `plot.equivalence_test()` to align plots with the output of the `print()`-method (#78) ## Bug fixes - `hdi()` returned multiple class attributes (#72) - Printing results from `hdi()` failed when `ci`-argument had fractional parts for percentage values (e.g. `ci = .995`). - `plot.equivalence_test()` did not work properly for *brms*-models (#76). # bayestestR 0.1.0 - CRAN initial publication and [0.1.0 release](https://github.com/easystats/bayestestR/releases/tag/v0.1.0) - Added a `NEWS.md` file to track changes to the package