`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)`bayesfactor_savagedickey()`

:`hypothesis`

argument replaced by`null`

as part of the new`bayesfactor_parameters()`

function.

`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

`bayesfactor_inclusion()`

now works with`R < 3.6`

.

`equivalence_test()`

: returns capitalized output (e.g.,`Rejected`

instead of`rejected`

)`describe_posterior.numeric()`

:`dispersion`

defaults to`FALSE`

for consistency with the other methods

`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()`

, …

- Improved tutorial 2

`describe_posterior()`

: Fixed column order restoration`bayesfactor_inclusion()`

: Inclusion BFs for matched models are more inline with JASP results.

- 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`

`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`

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

- 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)

`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).

- CRAN initial publication and 0.1.0 release
- Added a
`NEWS.md`

file to track changes to the package