visual_compare: Visually compare two models

In ljcolling/bayesplay: The Bayes Factor Playground

Visually compare two models

Description

Visually compare two models

Usage

visual_compare(model1, model2, ratio = FALSE)

Arguments

model1	a predictive object
model2	a predictive object
ratio	show ratio rather than comparison (default: FALSE)

Value

A ggplot2 object

Examples

# define two models
data_model <- likelihood(family = "normal", .5, 1)
h0_mod <- prior(family = "point", point = 0)
h1_mod <- prior(family = "normal", mean = 0, sd = 10)
m0 <- extract_predictions(data_model * h0_mod)
m1 <- extract_predictions(data_model * h1_mod)

# visually compare the model
visual_compare(m0, m1)
# plot the ratio of the two model predictions
visual_compare(m0, m1, ratio = TRUE)

ljcolling/bayesplay documentation built on March 21, 2022, 3:15 a.m.