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

In julianfaraway/brinla: Bayesian Regression with INLA

Plot credible band for a nonlinear function using plot()

Description

Plot credible band for a nonlinear function using plot()

Usage

bri.band.plot(result, name = NULL, alpha = 0.05, ind = NULL,
  x = NULL, xlab = NULL, ylab = NULL, main = NULL, sub = NULL,
  xlim = NULL, ylim = NULL, cex.lab = 1.5, cex.axis = 1.5,
  type = c("random", "fitted", "linear"), hpd = FALSE,
  gray.band = TRUE)

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
x	the predictor vector
xlab	a title for the x axis
ylab	a title for the y axis
main	an overall title for the plot
sub	a sub title for the plot
xlim	sets the limits of x axis
ylim	sets the limits of y axis
type	the type of nonlinear function to be plotted: 'random' random effects; 'fitted' fitted values; 'linear' linear predictors
hpd	TRUE if highest posterior density (HPD) interval is plotted (FALSE by default)
gray.band	TRUE (default) if the credible band is filled with gray color

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.