Understand and Describe Bayesian Models and Posterior Distributions

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Documentation for package ‘bayestestR’ version 0.1.0

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as.data.frame.density Coerce to a Data Frame
ci Confidence/Credible Interval
ci.brmsfit Confidence/Credible Interval
ci.numeric Confidence/Credible Interval
ci.stanreg Confidence/Credible Interval
density_at Probability of a Given Point
equivalence_test Test for Practical Equivalence
equivalence_test.brmsfit Test for Practical Equivalence
equivalence_test.numeric Test for Practical Equivalence
equivalence_test.stanreg Test for Practical Equivalence
hdi Highest Density Interval (HDI)
hdi.brmsfit 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
pd Probability of Direction (pd)
p_direction Probability of Direction (pd)
p_direction.brmsfit 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.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.brmsfit ROPE-based p-value
p_rope.numeric ROPE-based p-value
p_rope.stanreg ROPE-based p-value
rnorm_perfect The (Perfect) Normal Distribution
rope Region of Practical Equivalence (ROPE)
rope.brmsfit 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