area_under_curve | Area under the Curve (AUC) |
as.data.frame.density | Coerce to a Data Frame |
as.numeric.p_direction | Convert to Numeric |
as.numeric.p_map | Convert to Numeric |
as.numeric.p_rope | Convert to Numeric |
auc | Area under the Curve (AUC) |
bayesfactor | Bayes Factors (BF) |
bayesfactor_inclusion | Inclusion Bayes Factors for testing effects across Bayesian models |
bayesfactor_models | Bayes Factors (BF) for model comparison |
bayesfactor_savagedickey | Savage-Dickey density ratio Bayes Factor (BF) |
bayesfactor_savagedickey.brmsfit | Savage-Dickey density ratio Bayes Factor (BF) |
bayesfactor_savagedickey.data.frame | Savage-Dickey density ratio Bayes Factor (BF) |
bayesfactor_savagedickey.emmGrid | Savage-Dickey density ratio Bayes Factor (BF) |
bayesfactor_savagedickey.numeric | Savage-Dickey density ratio Bayes Factor (BF) |
bayesfactor_savagedickey.stanreg | Savage-Dickey density ratio Bayes Factor (BF) |
ci | Confidence/Credible Interval (CI) |
ci.BFBayesFactor | Confidence/Credible Interval (CI) |
ci.brmsfit | Confidence/Credible Interval (CI) |
ci.data.frame | Confidence/Credible Interval (CI) |
ci.emmGrid | Confidence/Credible Interval (CI) |
ci.numeric | Confidence/Credible Interval (CI) |
ci.stanreg | Confidence/Credible Interval (CI) |
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 | Probability of a Given Point |
describe_posterior | Describe Posterior Distributions |
describe_posterior.BFBayesFactor | Describe Posterior Distributions |
describe_posterior.brmsfit | Describe Posterior Distributions |
describe_posterior.numeric | 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.stanreg | Posteriors Sampling Diagnostic |
distribution | Empirical Distributions |
distribution_beta | Empirical Distributions |
distribution_cauchy | Empirical Distributions |
distribution_chisquared | Empirical Distributions |
distribution_custom | Empirical Distributions |
distribution_mixture_normal | Empirical Distributions |
distribution_normal | Empirical Distributions |
distribution_poisson | Empirical Distributions |
distribution_student | Empirical Distributions |
distribution_uniform | Empirical Distributions |
effective_sample | Effective Sample Size (ESS) |
effective_sample.brmsfit | 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_probability | Density Estimation |
hdi | 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.numeric | Highest Density Interval (HDI) |
hdi.stanreg | Highest Density Interval (HDI) |
map_estimate | Maximum A Posteriori (MAP) Estimate |
map_estimate.brmsfit | Maximum A Posteriori (MAP) Estimate |
map_estimate.numeric | Maximum A Posteriori (MAP) Estimate |
map_estimate.stanreg | Maximum A Posteriori (MAP) Estimate |
mcse | Monte-Carlo Standard Error (MCSE) |
mcse.stanreg | Monte-Carlo Standard Error (MCSE) |
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.stanreg | Point-estimates of posterior distributions |
probability_at | Probability of a Given Point |
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.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 Priori (MAP) |
p_map.BFBayesFactor | Bayesian p-value based on the density at the Maximum A Priori (MAP) |
p_map.brmsfit | Bayesian p-value based on the density at the Maximum A Priori (MAP) |
p_map.numeric | Bayesian p-value based on the density at the Maximum A Priori (MAP) |
p_map.stanreg | Bayesian p-value based on the density at the Maximum A Priori (MAP) |
p_rope | ROPE-based p-value |
p_rope.BFBayesFactor | ROPE-based p-value |
p_rope.brmsfit | ROPE-based p-value |
p_rope.data.frame | ROPE-based p-value |
p_rope.emmGrid | ROPE-based p-value |
p_rope.numeric | ROPE-based p-value |
p_rope.stanreg | ROPE-based p-value |
p_to_pd | Convert between Probability of Direction (pd) and p-value. |
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.numeric | Region of Practical Equivalence (ROPE) |
rope.stanreg | Region of Practical Equivalence (ROPE) |
rope_range | Find Default Equivalence (ROPE) Region Bounds |
update.bayesfactor_models | Update bayesfactor_models |