bri.band.ggplot: Plot credible band for a nonlinear function using ggplot()

In julianfaraway/brinla: Bayesian Regression with INLA

Plot credible band for a nonlinear function using ggplot()

Description

Plot credible band for a nonlinear function using ggplot()

Usage

bri.band.ggplot(result, name = NULL, x = NULL, alpha = 0.05,
  ind = NULL, type = c("random", "fitted", "linear", "lincomb"),
  xlab = NULL, ylab = NULL, main = NULL, hpd = FALSE)

Arguments

result	the result object from INLA call
name	the name of the component for which to do the plot
alpha	specifies the credibility level as 100(1-alpha)%
ind	the indices for the part of a component that should be plotted
type	the type of nonlinear function to be plotted: 'random' random effects; 'fitted' fitted values; 'linear' linear predictors; 'lincomb' linear combinations
xlab	a title for the x axis
ylab	a title for the y axis
main	an overall title for the plot
hpd	TRUE if highest posterior density (HPD) interval is plotted (FALSE by default)

Value

A plot of posterior mean and credible band for a nonlinear function estimated by INLA

julianfaraway/brinla documentation built on April 6, 2023, 2:33 p.m.