bayestestR 0.15.0

Changes

• Support for posterior::rvar-type column in data frames.
  For example, a data frame df with an rvar column ".pred" can now be
  called directly via p_direction(df, rvar_col = ".pred").

• Added support for {marginaleffects}

• The ROPE or threshold ranges in rope(), describe_posterior(), p_significance()
  and equivalence_test() can now be specified as a list. This allows for different
  ranges for different parameters.

• Results from objects generated by {emmeans} (emmGrid/emm_list) now
  return results with appended grid-data.

• Usability improvements for p_direction():

  • Results from p_direction() can directly be used in pd_to_p().

  • p_direction() gets an as_p argument, to directly convert pd-values into
    frequentist p-values.

  • p_direction() gets a remove_na argument, which defaults to TRUE, to
    remove NA values from the input before calculating the pd-values.

  • Besides the existing as.numeric() method, p_direction() now also has an
    as.vector() method.

• p_significance() now accepts non-symmetric ranges for the threshold argument.

• p_to_pd() now also works with data frames returned by p_direction(). If
  a data frame contains a pd, p_direction or PD column name, this is assumed
  to be the pd-values, which are then converted to p-values.

• p_to_pd() for data frame inputs gets a as.numeric() and as.vector()
  method.

Bug fixes

• Fixed warning in CRAN check results.

bayestestR 0.14.0

Breaking Changes

• Arguments named group, at, group_by and split_by will be deprecated
  in future releases of easystats packages. Please use by instead. This
  affects following functions in bayestestR:

  • estimate_density()

Changes

• bayesian_as_frequentist() now supports more model families from Bayesian
  models that can be successfully converted to their frequentists counterparts.

• bayesfactor_models() now throws an informative error when Bayes factors for
  comparisons could not be calculated.

Bug fixes

• Fixed issue in bayesian_as_frequentist() for brms models with 0 + Intercept
  specification in the model formula.

bayestestR 0.13.1

Changes

• Improved speed performance when functions are called using do.call().

• Improved speed performance to bayesfactor_models() for brmsfit objects
  that already included a marglik element in the model object.

New functionality

• as.logical() for bayesfactor_restricted() results, extracts the boolean
  vector(s) the mark which draws are part of the order restriction.

Bug fixes

• p_map() gains a new null argument to specify any non-0 nulls.

• Fixed non-working examples for ci(method = "SI").

• Fixed wrong calculation of rope range for model objects in describe_posterior().

• Some smaller bug fixes.

0.9.0

CRAN release

0.7.2

CRAN release

0.5.0

CRAN update

0.4.0

CRAN update

0.3.0

• CRAN 0.3.0 release

0.2.5

• JOSS release
• CRAN 0.2.5 release

0.2.2

CRAN 0.2.2 release.