To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Heritage persistent IDentifiers (SWHIDs) must be used instead of copying and pasting the url from the address bar of the browser (as there is no guarantee the current URI scheme will remain the same over time).
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
# bayestestR 0.3.3 ## New functions / features - `convert_bayesian_to_frequentist` Convert (refit) Bayesian model as frequentist - `distribution_binomial()` for perfect binomial distributions - `simulate_ttest()` Simulate data with a mean difference - `simulate_correlation()` Simulate correlated datasets - `p_significance()` Compute the probability of Practical Significance (ps) - `overlap()` Compute overlap between two empirical distributions - `estimate_density()`: `method = "mixture"` argument added for mixture density estimation ## Bug fixes - Fixed bug in `simulate_prior()` for stanreg-models when `autoscale` was set to `FALSE` # 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