predict.aov_b: Predict method for aov_b model fits

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

Predict method for aov_b model fits

Description

Predict method for aov_b model fits

Usage

## S3 method for class 'aov_b'
predict(object, CI_level = 0.95, PI_level = 0.95, ...)

Arguments

object	Object of class aov_b
CI_level	Posterior probability covered by credible interval
PI_level	Posterior probability covered by prediction interval
...	optional arguments.

Value

tibble with estimate (posterior mean), prediction intervals, and credible intervals for the mean.

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)
predict(fit1)

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