credint: Credible Intervals for Model Parameters

In bayesics: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods

Credible Intervals for Model Parameters

Description

Computes credible intervals for one or more parameters in a fitted model.

Usage

credint(object, ...)

## S3 method for class 'lm_b'
credint(object, CI_level = 0.95, ...)

## S3 method for class 'aov_b'
credint(object, CI_level = 0.95, which = "means", ...)

## S3 method for class 'glm_b'
credint(object, CI_level = 0.95, ...)

## S3 method for class 'np_glm_b'
credint(object, CI_level = 0.95, ...)

## S3 method for class 'lm_b_bma'
credint(object, CI_level = 0.95, ...)

Arguments

object	a fitted model object from bayesics
...	Passed to methods.
CI_level	the credible level required
which	character. For aov_b only. Either "means" (for the group means) or "pairwise" (for pairwise difference in means).

Value

Matrix of credible intervals

Examples

set.seed(2025)
N = 500
test_data = 
  data.frame(x1 = rep(letters[1:5],N/5))
test_data$outcome = 
  rnorm(N,-1 + 2 * (test_data$x1 %in% c("d","e")) )

# Fit 1-way ANOVA model
fit1 <-
  aov_b(outcome ~ x1,
        test_data,
        prior_mean_mu = 2,
        prior_mean_nu = 0.5,
        prior_var_shape = 0.01,
        prior_var_rate = 0.01)
credint(fit1)

bayesics documentation built on March 11, 2026, 5:07 p.m.