plot.bru: Plot method for posterior marginals estimated by bru

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Plot method for posterior marginals estimated by bru

Description

From version ⁠2.11.0⁠, plot.bru(x, ...) calls plot.inla(x, ...) from the INLA package, unless the first argument after x is a character, in which case the pre-⁠2.11.0⁠ behaviour is used, calling plotmarginal.inla(x, ...) instead.

Requires the ggplot2 package.

Usage

## S3 method for class 'bru'
plot(x, ...)

plotmarginal.inla(
  result,
  varname = NULL,
  index = NULL,
  link = function(x) {
     x
 },
  add = FALSE,
  ggp = TRUE,
  lwd = 3,
  ...
)

Arguments

x	a fitted bru() model.
...	Options passed on to other methods.
result	an inla or bru result object
varname	character; name of the variable to plot
index	integer; index of the random effect to plot
link	function; link function to apply to the variable
add	logical; if TRUE, add to an existing plot
ggp	logical; unused
lwd	numeric; line width

Examples

## Not run: 
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 * x + rnorm(length(x), mean = 0, sd = 0.1)
  )
  fit <- bru(y ~ x, family = "gaussian", data = input.df)
  summary(fit)

  # Plot the posterior density of the model's x-effect
  plot(fit, "x")
}

## End(Not run)

inlabru documentation built on July 2, 2024, 1:07 a.m.