plot_beta_binomial {bayesrules} | R Documentation |
Consider a Beta-Binomial Bayesian model for parameter \pi
with
a Beta(alpha, beta) prior on \pi
and Binomial likelihood with n trials
and y successes. Given information on the prior (alpha and data) and data (y and n),
this function produces a plot of any combination of the corresponding prior pdf,
scaled likelihood function, and posterior pdf. All three are included by default.
plot_beta_binomial(
alpha,
beta,
y = NULL,
n = NULL,
prior = TRUE,
likelihood = TRUE,
posterior = TRUE
)
alpha , beta |
positive shape parameters of the prior Beta model |
y |
observed number of successes |
n |
observed number of trials |
prior |
a logical value indicating whether the prior model should be plotted |
likelihood |
a logical value indicating whether the scaled likelihood should be plotted |
posterior |
a logical value indicating whether posterior model should be plotted |
a ggplot
plot_beta_binomial(alpha = 1, beta = 13, y = 25, n = 50)
plot_beta_binomial(alpha = 1, beta = 13, y = 25, n = 50, posterior = FALSE)