Produces up to six diagnostic plots for a fitted
"brs" model: residuals vs indices, Cook's
distance, residuals vs linear predictor, residuals vs fitted
values, a half-normal plot with simulated envelope, and
predicted vs observed.
Usage
# S3 method for class 'brs'
plot(
x,
which = 1:4,
type = "rqr",
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
"brs"object.- which
Integer vector selecting which plots to draw (default
1:4).- type
Character: residual type passed to
residuals.brs(default"rqr").- nsim
Integer: number of simulations for the half-normal envelope (default 100).
- level
Numeric: confidence level for the envelope (default 0.9).
- caption
Character vector of panel captions.
- sub.caption
Subtitle; defaults to the model call.
- ask
Logical: prompt before each page of plots?
- gg
Logical: use ggplot2? (default
FALSE).- ...
Further arguments passed to base
plot().