bayestestR

Area under the Curve (AUC)

Coerce to a Data Frame

Convert to Numeric

Bayes Factors (BF)

Inclusion Bayes Factors for testing predictors across Bayesian models

Bayes Factors (BF) for model comparison

Bayes Factors (BF) for a Single Parameter

Bayes Factors (BF) for Order Restricted Models

Bias Corrected and Accelerated Interval (BCa)

Convert BIC indices to Bayes Factors via the BIC-approximation method.

Check if Prior is Informative

Confidence/Credible/Compatibility Interval (CI)

Orthonormal Contrast Matrices for Bayesian Estimation

Convert (refit) a Bayesian model to frequentist

Density Probability at a Given Value

Describe Posterior Distributions

Describe Priors

Diagnostic values for each iteration

Posteriors Sampling Diagnostic

Empirical Distributions

Extract and Returns the priors formatted for rstanarm

Flatten a list

Set a new location for a prior

select numerics columns

Effective Sample Size (ESS)

Test for Practical Equivalence

Density Estimation

Equal-Tailed Interval (ETI)

Highest Density Interval (HDI)

Maximum A Posteriori probability estimate (MAP)

Monte-Carlo Standard Error (MCSE)

Summary of Bayesian multivariate-response mediation-models

Overlap Coefficient

Probability of Direction (pd)

Bayesian p-value based on the density at the Maximum A Posteriori (MAP)

Probability of being in the ROPE

Practical Significance (ps)

Convert between Probability of Direction (pd) and p-value.

Point-estimates of posterior distributions

Objects exported from other packages

Reshape estimations with multiple iterations (draws) to long format

Region of Practical Equivalence (ROPE)

Find Default Equivalence (ROPE) Region Bounds

Sensitivity to Prior

Sequential Effect eXistence and sIgnificance Testing (SEXIT)

Find Effect Size Thresholds

Compute Support Intervals

Data Simulation

Returns Priors of a Model as Empirical Distributions

Un-update Bayesian models to their prior-to-data state

Generate posterior distributions weighted across models