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# bayestestR 0.3.0 ## General - revised `print()`-methods for functions like `rope()`, `p_direction()`, `describe_posterior()` etc., in particular for model objects with random effects and/or zero-inflation component. ## New functions / features - `check_prior()` to check if prior is informative - `simulate_prior()` to simulate model's priors as distributions - `distribution_gamma()` to generate a (near-perfect or random) Gamma distribution - `contr.bayes` function for orthogonal factor coding (implementation from Singmann & Gronau's [`bfrms`](https://github.com/bayesstuff/bfrms/), used for proper prior estimation when factor have 3 levels or more. See Bayes factor vignette. ## Changes to functions - Added support for `sim`, `sim.merMod` (from `arm::sim()`) and `MCMCglmm`-objects to many functions (like `hdi()`, `ci()`, `eti()`, `rope()`, `p_direction()`, `point_estimate()`, ...) - `describe_posterior()` gets an `effects` and `component` argument, to include the description of posterior samples from random effects and/or zero-inflation component. - More user-friendly warning for non-supported models in `bayesfactor()`-methods ## Bug fixes - Fixed bug in `bayesfactor_inclusion()` where the same interaction sometimes appeared more than once (#223). - Fixed bug in `describe_posterior()` for *stanreg* models fitted with fullrank-algorithm. # bayestestR 0.2.5 ## Breaking changes - `rope_range()` for binomial model has now a different default (-.18; .18 ; instead of -.055; .055) - `rope()`: returns a proportion (between 0 and 1) instead of a value between 0 and 100 - `p_direction()`: returns a proportion (between 0.5 and 1) instead of a value between 50 and 100 ([#168](https://github.com/easystats/bayestestR/issues/168)) - `bayesfactor_savagedickey()`: `hypothesis` argument replaced by `null` as part of the new `bayesfactor_parameters()` function ## New functions / features - `density_at()`, `p_map()` and `map_estimate()`: `method` argument added - `rope()`: `ci_method` argument added - `eti()`: Computes equal-tailed intervals - `reshape_ci()`: Reshape CIs between wide/long - `bayesfactor_parameters()`: New function, replacing `bayesfactor_savagedickey()`, allows for computing Bayes factors against a *point-null* or an *interval-null* - `bayesfactor_restricted()`: Function for computing Bayes factors for order restricted models ## Minor changes ## Bug fixes - `bayesfactor_inclusion()` now works with `R < 3.6`. # 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
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