Man pages for bayestestR
Understand and Describe Bayesian Models and Posterior Distributions
| area_under_curve | Area under the Curve (AUC) |
| as.data.frame.density | Coerce to a Data Frame |
| as.numeric.p_direction | Convert to Numeric |
| bayesfactor | Bayes Factors (BF) |
| bayesfactor_inclusion | Inclusion Bayes Factors for testing predictors across... |
| bayesfactor_models | Bayes Factors (BF) for model comparison |
| bayesfactor_parameters | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_restricted | Bayes Factors (BF) for Order Restricted Models |
| bayestestR-package | bayestestR: Describing Effects and their Uncertainty,... |
| bci | Bias Corrected and Accelerated Interval (BCa) |
| bic_to_bf | Convert BIC indices to Bayes Factors via the... |
| check_prior | Check if Prior is Informative |
| ci | Confidence/Credible/Compatibility Interval (CI) |
| contr.equalprior | Contrast Matrices for Equal Marginal Priors in Bayesian... |
| convert_bayesian_as_frequentist | Convert (refit) a Bayesian model to frequentist |
| density_at | Density Probability at a Given Value |
| describe_posterior | Describe Posterior Distributions |
| describe_prior | Describe Priors |
| diagnostic_draws | Diagnostic values for each iteration |
| diagnostic_posterior | Posteriors Sampling Diagnostic |
| disgust | Moral Disgust Judgment |
| distribution | Empirical Distributions |
| dot-extract_priors_rstanarm | Extract and Returns the priors formatted for rstanarm |
| dot-prior_new_location | Set a new location for a prior |
| dot-select_nums | select numerics columns |
| effective_sample | Effective Sample Size (ESS) |
| equivalence_test | Test for Practical Equivalence |
| estimate_density | Density Estimation |
| eti | Equal-Tailed Interval (ETI) |
| hdi | Highest Density Interval (HDI) |
| map_estimate | Maximum A Posteriori probability estimate (MAP) |
| mcse | Monte-Carlo Standard Error (MCSE) |
| mediation | Summary of Bayesian multivariate-response mediation-models |
| model_to_priors | Convert model's posteriors to priors (EXPERIMENTAL) |
| overlap | Overlap Coefficient |
| p_direction | Probability of Direction (pd) |
| pd_to_p | Convert between Probability of Direction (pd) and p-value. |
| p_map | Bayesian p-value based on the density at the Maximum A... |
| point_estimate | Point-estimates of posterior distributions |
| p_rope | Probability of being in the ROPE |
| p_significance | Practical Significance (ps) |
| p_to_bf | Convert p-values to (pseudo) Bayes Factors |
| reexports | Objects exported from other packages |
| reshape_iterations | Reshape estimations with multiple iterations (draws) to long... |
| rope | Region of Practical Equivalence (ROPE) |
| rope_range | Find Default Equivalence (ROPE) Region Bounds |
| sensitivity_to_prior | Sensitivity to Prior |
| sexit | Sequential Effect eXistence and sIgnificance Testing (SEXIT) |
| sexit_thresholds | Find Effect Size Thresholds |
| si | Compute Support Intervals |
| simulate_correlation | Data Simulation |
| simulate_prior | Returns Priors of a Model as Empirical Distributions |
| simulate_simpson | Simpson's paradox dataset simulation |
| spi | Shortest Probability Interval (SPI) |
| unupdate | Un-update Bayesian models to their prior-to-data state |
| weighted_posteriors | Generate posterior distributions weighted across models |
