Plot method for Bayes Factors for model comparison — plot.see_bayesfactor

The plot() method for the bayestestR::bayesfactor_models() function. These plots visualize the posterior probabilities of the compared models.

Usage

# S3 method for class 'see_bayesfactor_models'
plot(
  x,
  n_pies = "one",
  value = "none",
  sort = FALSE,
  log = FALSE,
  prior_odds = NULL,
  ...
)

Arguments

x

An object.

n_pies

Number of pies. Can be "one" or "many".

value

What value to display. Can be "none", "BF", or "probability".

sort

The behavior of this argument depends on the plotting contexts.

Plotting model parameters: If NULL, coefficients are plotted in the order as they appear in the summary. Setting sort = "ascending" or sort = "descending" sorts coefficients in ascending or descending order, respectively. Setting sort = TRUE is the same as sort = "ascending".
Plotting Bayes factors: Sort pie-slices by posterior probability (descending)?

log

Logical that decides whether to display log-transformed Bayes factors.

prior_odds

An optional vector of prior odds for the models. See BayesFactor::priorOdds. As the size of the pizza slices corresponds to posterior probability (which is a function of prior probability and the Bayes Factor), custom prior_odds will change the slices' size.

...

Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

library(bayestestR)
library(see)

lm0 <- lm(qsec ~ 1, data = mtcars)
lm1 <- lm(qsec ~ drat, data = mtcars)
lm2 <- lm(qsec ~ wt, data = mtcars)
lm3 <- lm(qsec ~ drat + wt, data = mtcars)

result <- bayesfactor_models(lm1, lm2, lm3, denominator = lm0)

plot(result, n_pies = "one", value = "probability", sort = TRUE) +
  scale_fill_pizza(reverse = TRUE)


plot(result, n_pies = "many", value = "BF", log = TRUE) +
  scale_fill_pizza(reverse = FALSE)