Description Usage Arguments Details
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 loglikelihood value over time.
The S3 method plot
for class ipriorMod
currently returns plot_fitted
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  ## S3 method for class '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)

x 
An 
... 
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

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 loglikelihood label. 
draws 
Number of draws for posterior predictive check. 
grp 
The index of the groups. 
See ggplot2 documentation for the plotting parameters.
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