ci width has been changed to 0.95 instead of 0.89 (see here). This should not come as a surprise to the long-time users of
bayestestR as we have been warning about this impending change for a while now :)
Removed the experimental function
.stanregmethods gain a
componentargument, to also include auxiliary parameters.
sexit(), a function for sequential effect existence and significance testing (SEXIT).
Added startup-message to warn users that default ci-width might change in a future update.
Added support for mcmc.list objects.
unupdate() gains a
newdata argument to work with
Fixed issue in Bayes factor vignette (don’t evaluate code chunks if packages not available).
Fixed issue with default rope range for
Fixed issue in collinearity-check for
rope() for models with less than two parameters.
Fixed issue in print-method for
stanmvreg-models, which displays the wrong name for the response-value.
Fixed issue in
effective_sample() for models with only one parameter.
mediation(), to compute average direct and average causal mediation effects of multivariate response models (
estimate_density()now also works on grouped data frames.
Fixed bug in
weighted_posteriors() to properly weight Intercept-only
Fixed issues related to latest changes in
as.data.frame.brmsfit() from the brms package.
p_pointnull() as an alias to
si() function to compute support intervals.
weighted_posteriors() for generating posterior samples averaged across models.
p_significance() now also works for brmsfit-objects.
estimate_density() now also works for MCMCglmm-objects.
component arguments for stanreg and brmsfit models, to print specific model components.
Support for mcmc objects (package coda)
Provide more distributions via
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
method = "mixture" argument added for mixture density estimation
simulate_prior()for stanreg-models when
autoscalewas set to
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, used for proper prior estimation when factor have 3 levels or more. See Bayes factor vignette ## Changes to functions
describe_posterior() gets an
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
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
hypothesis argument replaced by
null as part of the new
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.
plotting functions now require the installation of the
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
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
probability_at() as alias for
effective_sample() to return the effective sample size of Stan-models
mcse() to return the Monte Carlo standard error of Stan-models
CRAN initial publication and 0.1.0 release
NEWS.md file to track changes to the package