Produces diagnostic plots for fitted "brsmm" models:
residuals vs indices, Cook's distance, residuals vs linear predictor,
residuals vs fitted values, half-normal envelope, and predicted vs observed.
Usage
# S3 method for class 'brsmm'
plot(
x,
which = 1:4,
type = c("response", "pearson"),
nsim = 100L,
level = 0.9,
caption = c("Residuals vs indices", "Cook's distance", "Residuals vs linear predictor",
"Residuals vs fitted values", "Half-normal plot", "Predicted vs observed"),
sub.caption = NULL,
ask = prod(par("mfcol")) < length(which) && dev.interactive(),
gg = FALSE,
...
)Arguments
- x
A fitted
"brsmm"object.- which
Integer vector selecting which panels to draw (default
1:4).- type
Residual type passed to
residuals.brsmm("response"or"pearson").- nsim
Number of simulations for half-normal envelope.
- level
Confidence level for the half-normal envelope.
- caption
Character vector of plot captions.
- sub.caption
Optional subtitle; defaults to model call.
- ask
Logical: prompt before each new page?
- gg
Logical: use ggplot2 backend?
- ...
Further arguments passed to base
plot().