Methods for an ARFC fit

Usage

# S3 method for class 'arfc'
coef(object, type = c("basis", "function"), ...)

# S3 method for class 'arfc'
predict(object, newdata, ...)

# S3 method for class 'arfc'
fitted(object, ...)

# S3 method for class 'arfc'
residuals(object, ...)

# S3 method for class 'arfc'
nobs(object, ...)

# S3 method for class 'arfc'
print(x, ...)

# S3 method for class 'arfc'
summary(object, ...)

# S3 method for class 'summary.arfc'
print(x, ...)

# S3 method for class 'arfc'
plot(
  x,
  type = c("coefficient", "regions", "weights", "tuning"),
  shade_null = TRUE,
  null_col = "grey90",
  ...
)

Arguments

object, x: An object of class arfc.
type: For coef(), return basis coefficients or coefficient-function values. For plot(), choose the coefficient curve, regional norms, adaptive weights, or tuning path.
...: Additional graphical arguments where applicable.
newdata: Optional finite predictor matrix on the training grid.
shade_null: Shade finest-level regions with numerically zero fitted regional norm in coefficient plots.
null_col: Color used for zero-region shading.

Value

coef() returns a vector or data frame; predict(), fitted(), and residuals() return numeric vectors; nobs() returns an integer; printing and plotting methods return their object invisibly.