bru()
uses INLA::inla()
to fit models. The latter estimates the posterior densities of
all random effects in the model. This function serves to access and plot the posterior
densities in a convenient way.
Requires the ggplot2
package.
Usage
# S3 method for bru
plot(x, ...)
Arguments
- x
a fitted
bru()
model.- ...
A character naming the effect to plot, e.g. "Intercept". For random effects, adding
index = ...
plots the density for a single component of the latent model.
Examples
if (FALSE) {
if (require("ggplot2", quietly = TRUE)) {
# Generate some data and fit a simple model
input.df <- data.frame(x = cos(1:10))
input.df <- within(input.df, y <- 5 + 2 * cos(1:10) + rnorm(10, mean = 0, sd = 0.1))
fit <- bru(y ~ x, family = "gaussian", data = input.df)
summary(fit)
# Plot the posterior of the model's x-effect
plot(fit, "x")
}
}