plot.ipriorMod: Plots for I-prior models

Description

There are three types of plots that are currently written in the package:

plot_fitted: Plot the fitted regression line with credibility bands.
plot_predict: Plot residuals against fitted values.
plot_iter: Plot the progression of the log-likelihood value over time.

The S3 method plot for class ipriorMod currently returns plot_fitted.

Usage

# S3 method for ipriorMod
plot(x, ...)
plot_resid(x)
plot_fitted_multilevel(
  x,
  X.var = 1,
  grp.var = 1,
  facet = c(2, 3),
  cred.bands = TRUE,
  show.legend = TRUE,
  show.points = TRUE,
  x.lab = NULL,
  y.lab = NULL,
  grp.lab = NULL,
  extrapolate = FALSE
)
plot_fitted(x, X.var = 1, cred.bands = TRUE, size = 1, linetype = "solid")
plot_iter(x, niter.plot = NULL, lab.pos = c("up", "down"))
plot_ppc(x, draws = 100)

Arguments

x: An ipriorMod object.
...: Not used
X.var: The index of the X variable to plot.
grp.var: Index of the grouping variable for multilevel plots.
facet: The index of the X variable in which to facet. This is a vector of maximum length 2.
cred.bands: Logical. Plot the confidence intervals? Defaults to TRUE.
show.legend: Logical. Show legend?
show.points: Logical. Show data points?
x.lab: (Optional) X axis label.
y.lab: (Optional) Y axis label.
grp.lab: (Optional) The name for the groups, which is also the legend title.
extrapolate: Logical. Extend the fitted regression line to fill the plot?
size: Size of the fitted line
linetype: Type of the fitted line
niter.plot: (Optional) Vector of length at most two, indicating the start and end points of the iterations to plot.
lab.pos: Adjust the position of the log-likelihood label.
draws: Number of draws for posterior predictive check.
grp: The index of the groups.

Details

See ggplot2 documentation for the plotting parameters.