Plot method for Bayes Factors for model comparisonSource:
Number of pies.
What value to display.
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 = TRUEis the same as
sort = "ascending".
Plotting Bayes factors: Sort pie-slices by posterior probability (descending)?
Logical that decides whether to display log-transformed Bayes factors.
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_oddswill change the slices' size.
Arguments passed to or from other methods.
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)