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| area_under_curve | Area under the Curve (AUC) |
| as.data.frame.density | Coerce to a Data Frame |
| as.matrix.bayesfactor_models | Bayes Factors (BF) for model comparison |
| as.numeric.map_estimate | Convert to Numeric |
| as.numeric.mhdior | Convert to Numeric |
| as.numeric.p_direction | Convert to Numeric |
| as.numeric.p_map | Convert to Numeric |
| as.numeric.p_significance | Convert to Numeric |
| auc | Area under the Curve (AUC) |
| bayesfactor | Bayes Factors (BF) |
| bayesfactor_inclusion | Inclusion Bayes Factors for testing predictors across Bayesian models |
| bayesfactor_models | Bayes Factors (BF) for model comparison |
| bayesfactor_parameters | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_parameters.brmsfit | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_parameters.data.frame | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_parameters.numeric | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_parameters.stanreg | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_pointnull | Bayes Factors (BF) for a Single Parameter |
| bayesfactor_restricted | Bayes Factors (BF) for Order Restricted Models |
| bayesfactor_restricted.brmsfit | Bayes Factors (BF) for Order Restricted Models |
| bayesfactor_restricted.emmGrid | Bayes Factors (BF) for Order Restricted Models |
| bayesfactor_restricted.stanreg | Bayes Factors (BF) for Order Restricted Models |
| bayesfactor_rope | Bayes Factors (BF) for a Single Parameter |
| bayesian_as_frequentist | Convert (refit) a Bayesian model to frequentist |
| bf_inclusion | Inclusion Bayes Factors for testing predictors across Bayesian models |
| bf_models | Bayes Factors (BF) for model comparison |
| bf_parameters | Bayes Factors (BF) for a Single Parameter |
| bf_pointnull | Bayes Factors (BF) for a Single Parameter |
| bf_restricted | Bayes Factors (BF) for Order Restricted Models |
| bf_rope | Bayes Factors (BF) for a Single Parameter |
| check_prior | Check if Prior is Informative |
| ci | Confidence/Credible/Compatibility Interval (CI) |
| ci.BFBayesFactor | Confidence/Credible/Compatibility Interval (CI) |
| ci.brmsfit | Confidence/Credible/Compatibility Interval (CI) |
| ci.data.frame | Confidence/Credible/Compatibility Interval (CI) |
| ci.MCMCglmm | Confidence/Credible/Compatibility Interval (CI) |
| ci.numeric | Confidence/Credible/Compatibility Interval (CI) |
| ci.sim | Confidence/Credible/Compatibility Interval (CI) |
| ci.sim.merMod | Confidence/Credible/Compatibility Interval (CI) |
| ci.stanreg | Confidence/Credible/Compatibility Interval (CI) |
| contr.bayes | Orthonormal Contrast Matrices for Bayesian Estimation |
| convert_bayesian_as_frequentist | Convert (refit) a Bayesian model to frequentist |
| convert_pd_to_p | Convert between Probability of Direction (pd) and p-value. |
| convert_p_to_pd | Convert between Probability of Direction (pd) and p-value. |
| density_at | Density Probability at a Given Value |
| describe_posterior | Describe Posterior Distributions |
| describe_posterior.BFBayesFactor | Describe Posterior Distributions |
| describe_posterior.brmsfit | Describe Posterior Distributions |
| describe_posterior.MCMCglmm | Describe Posterior Distributions |
| describe_posterior.numeric | Describe Posterior Distributions |
| describe_posterior.stanmvreg | Describe Posterior Distributions |
| describe_posterior.stanreg | Describe Posterior Distributions |
| describe_prior | Describe Priors |
| diagnostic_posterior | Posteriors Sampling Diagnostic |
| diagnostic_posterior.brmsfit | Posteriors Sampling Diagnostic |
| diagnostic_posterior.stanmvreg | Posteriors Sampling Diagnostic |
| diagnostic_posterior.stanreg | Posteriors Sampling Diagnostic |
| distribution | Empirical Distributions |
| distribution_beta | Empirical Distributions |
| distribution_binom | Empirical Distributions |
| distribution_binomial | Empirical Distributions |
| distribution_cauchy | Empirical Distributions |
| distribution_chisq | Empirical Distributions |
| distribution_chisquared | Empirical Distributions |
| distribution_custom | Empirical Distributions |
| distribution_gamma | Empirical Distributions |
| distribution_gaussian | Empirical Distributions |
| distribution_mixture_normal | Empirical Distributions |
| distribution_nbinom | Empirical Distributions |
| distribution_normal | Empirical Distributions |
| distribution_poisson | Empirical Distributions |
| distribution_student | Empirical Distributions |
| distribution_student_t | Empirical Distributions |
| distribution_t | Empirical Distributions |
| distribution_tweedie | Empirical Distributions |
| distribution_uniform | Empirical Distributions |
| effective_sample | Effective Sample Size (ESS) |
| effective_sample.brmsfit | Effective Sample Size (ESS) |
| effective_sample.MCMCglmm | Effective Sample Size (ESS) |
| effective_sample.stanreg | Effective Sample Size (ESS) |
| equivalence_test | Test for Practical Equivalence |
| equivalence_test.BFBayesFactor | Test for Practical Equivalence |
| equivalence_test.brmsfit | Test for Practical Equivalence |
| equivalence_test.data.frame | Test for Practical Equivalence |
| equivalence_test.default | Test for Practical Equivalence |
| equivalence_test.emmGrid | Test for Practical Equivalence |
| equivalence_test.numeric | Test for Practical Equivalence |
| equivalence_test.stanreg | Test for Practical Equivalence |
| estimate_density | Density Estimation |
| estimate_density.data.frame | Density Estimation |
| eti | Equal-Tailed Interval (ETI) |
| eti.bayesQR | Equal-Tailed Interval (ETI) |
| eti.BFBayesFactor | Equal-Tailed Interval (ETI) |
| eti.brmsfit | Equal-Tailed Interval (ETI) |
| eti.data.frame | Equal-Tailed Interval (ETI) |
| eti.emmGrid | Equal-Tailed Interval (ETI) |
| eti.MCMCglmm | Equal-Tailed Interval (ETI) |
| eti.numeric | Equal-Tailed Interval (ETI) |
| eti.sim | Equal-Tailed Interval (ETI) |
| eti.sim.merMod | Equal-Tailed Interval (ETI) |
| eti.stanreg | Equal-Tailed Interval (ETI) |
| hdi | Highest Density Interval (HDI) |
| hdi.bayesQR | Highest Density Interval (HDI) |
| hdi.BFBayesFactor | Highest Density Interval (HDI) |
| hdi.brmsfit | Highest Density Interval (HDI) |
| hdi.data.frame | Highest Density Interval (HDI) |
| hdi.emmGrid | Highest Density Interval (HDI) |
| hdi.MCMCglmm | Highest Density Interval (HDI) |
| hdi.numeric | Highest Density Interval (HDI) |
| hdi.sim | Highest Density Interval (HDI) |
| hdi.sim.merMod | Highest Density Interval (HDI) |
| hdi.stanreg | Highest Density Interval (HDI) |
| map_estimate | Maximum A Posteriori probability estimate (MAP) |
| map_estimate.bayesQR | Maximum A Posteriori probability estimate (MAP) |
| map_estimate.brmsfit | Maximum A Posteriori probability estimate (MAP) |
| map_estimate.data.frame | Maximum A Posteriori probability estimate (MAP) |
| map_estimate.emmGrid | Maximum A Posteriori probability estimate (MAP) |
| map_estimate.numeric | Maximum A Posteriori probability estimate (MAP) |
| map_estimate.stanreg | Maximum A Posteriori probability estimate (MAP) |
| mcse | Monte-Carlo Standard Error (MCSE) |
| mcse.stanreg | Monte-Carlo Standard Error (MCSE) |
| mediation | Summary of Bayesian multivariate-response mediation-models |
| mediation.brmsfit | Summary of Bayesian multivariate-response mediation-models |
| mediation.stanmvreg | Summary of Bayesian multivariate-response mediation-models |
| mhdior | Maximum HDI level inside/outside ROPE (MHDIOR) |
| mhdior.BFBayesFactor | Maximum HDI level inside/outside ROPE (MHDIOR) |
| mhdior.brmsfit | Maximum HDI level inside/outside ROPE (MHDIOR) |
| mhdior.data.frame | Maximum HDI level inside/outside ROPE (MHDIOR) |
| mhdior.emmGrid | Maximum HDI level inside/outside ROPE (MHDIOR) |
| mhdior.numeric | Maximum HDI level inside/outside ROPE (MHDIOR) |
| mhdior.stanreg | Maximum HDI level inside/outside ROPE (MHDIOR) |
| overlap | Overlap Coefficient |
| pd | Probability of Direction (pd) |
| pd_to_p | Convert between Probability of Direction (pd) and p-value. |
| point_estimate | Point-estimates of posterior distributions |
| point_estimate.BFBayesFactor | Point-estimates of posterior distributions |
| point_estimate.brmsfit | Point-estimates of posterior distributions |
| point_estimate.numeric | Point-estimates of posterior distributions |
| point_estimate.stanreg | Point-estimates of posterior distributions |
| p_direction | Probability of Direction (pd) |
| p_direction.BFBayesFactor | Probability of Direction (pd) |
| p_direction.brmsfit | Probability of Direction (pd) |
| p_direction.data.frame | Probability of Direction (pd) |
| p_direction.emmGrid | Probability of Direction (pd) |
| p_direction.MCMCglmm | Probability of Direction (pd) |
| p_direction.numeric | Probability of Direction (pd) |
| p_direction.stanreg | Probability of Direction (pd) |
| p_map | Bayesian p-value based on the density at the Maximum A Posteriori (MAP) |
| p_map.brmsfit | Bayesian p-value based on the density at the Maximum A Posteriori (MAP) |
| p_map.stanreg | Bayesian p-value based on the density at the Maximum A Posteriori (MAP) |
| p_pointnull | Bayesian p-value based on the density at the Maximum A Posteriori (MAP) |
| p_rope | Probability of being in the ROPE |
| p_rope.BFBayesFactor | Probability of being in the ROPE |
| p_rope.brmsfit | Probability of being in the ROPE |
| p_rope.data.frame | Probability of being in the ROPE |
| p_rope.default | Probability of being in the ROPE |
| p_rope.emmGrid | Probability of being in the ROPE |
| p_rope.MCMCglmm | Probability of being in the ROPE |
| p_rope.numeric | Probability of being in the ROPE |
| p_rope.stanreg | Probability of being in the ROPE |
| p_significance | Practical Significance (ps) |
| p_significance.brmsfit | Practical Significance (ps) |
| p_significance.emmGrid | Practical Significance (ps) |
| p_significance.numeric | Practical Significance (ps) |
| p_significance.stanreg | Practical Significance (ps) |
| p_to_pd | Convert between Probability of Direction (pd) and p-value. |
| reshape_ci | Reshape CI between wide/long formats |
| rnorm_perfect | Empirical Distributions |
| rope | Region of Practical Equivalence (ROPE) |
| rope.BFBayesFactor | Region of Practical Equivalence (ROPE) |
| rope.brmsfit | Region of Practical Equivalence (ROPE) |
| rope.data.frame | Region of Practical Equivalence (ROPE) |
| rope.default | Region of Practical Equivalence (ROPE) |
| rope.emmGrid | Region of Practical Equivalence (ROPE) |
| rope.MCMCglmm | Region of Practical Equivalence (ROPE) |
| rope.numeric | Region of Practical Equivalence (ROPE) |
| rope.stanreg | 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 |
| si.brmsfit | Compute Support Intervals |
| si.data.frame | Compute Support Intervals |
| si.emmGrid | Compute Support Intervals |
| si.numeric | Compute Support Intervals |
| si.stanreg | Compute Support Intervals |
| simulate_correlation | Data Simulation |
| simulate_difference | Data Simulation |
| simulate_prior | Returns Priors of a Model as Empirical Distributions |
| simulate_ttest | Data Simulation |
| update.bayesfactor_models | Bayes Factors (BF) for model comparison |
| weighted_posteriors | Generate posterior distributions weighted across models |
| weighted_posteriors.BFBayesFactor | Generate posterior distributions weighted across models |
| weighted_posteriors.brmsfit | Generate posterior distributions weighted across models |
| weighted_posteriors.data.frame | Generate posterior distributions weighted across models |
| weighted_posteriors.stanreg | Generate posterior distributions weighted across models |