plot.asm {asm}

Generate diagnostic plots for an asm regression model

Description

Generates plots of residuals vs fitted values, and the estimated convex loss and antitonic score functions based on a fitted asm regression model

Usage

## S3 method for class 'asm'
plot(
  x,
  which = c(1, 2, 3),
  caption = list("Residuals vs fitted", "Convex loss function",
    "Antitonic score function"),
  extend.ylim.f = 0.08,
  id.n = 3,
  labels.id = rownames(x$residuals),
  label.pos = c(4, 2),
  ext.xlim.f = 0.08,
  grid.length.f = 10,
  ask = prod(par("mfcol")) < length(which) && dev.interactive(),
  ...
)

Arguments

x

asm object

which

a subset of the plots to be displayed

caption

a list of captions for the plots

extend.ylim.f

factor to extend the y-axis limits for the residuals vs fitted plot

id.n

number of residuals to label in the residuals vs fitted plot

labels.id

labels for the residuals in the residuals vs fitted plot

label.pos

position of the labels in the residuals vs fitted plot

ext.xlim.f

factor to extend the x-axis limits for the convex loss and antitonic score function plots

grid.length.f

the number of grid points for the convex loss plot is defined as grid.length.f * length(x$residuals)

ask

logical; if TRUE, the user is asked before each plot

...

additional arguments to ensure compatibility with the generic function plot()

Value

No return value

Examples

model = asm(mpg ~ cyl + hp + disp, data=mtcars)
plot(model)