Plot inlabru convergence diagnostics

Draws four panels of convergence diagnostics for an iterated INLA method estimation

Usage

bru_convergence_plot(x, from = 1, to = NULL, type = NULL)

x: a bru object, typically a result from bru() for a nonlinear predictor model
from, to: integer values for the range of iterations to plot. Default from = 1 (start from the first iteration) and to = NULL (end at the last iteration). Set from = 0 to include the initial linearisation point in the track plot.
type: character; "bru" (default) for iterative nonlinear inlabru convergence diagnostics plots, or "inla" for INLA optimiser trace plots.

A ggplot object with four panels of convergence diagnostics:

Tracks: Mode and linearisation values for each effect
Mode - Lin: Difference between mode and linearisation values for each effect
|Change| / sd: Absolute change in mode and linearisation values divided by the standard deviation for each effect
Change & sd: Absolute change in mode and linearisation values and standard deviation for each effect

For multidimensional components, only the overall average, maximum, and minimum values are shown.

Requires the "dplyr", "ggplot2", "magrittr", and "patchwork" packages to be installed.

if (FALSE) { # \dontrun{
fit <- bru(...)
bru_convergence_plot(fit)
} # }