MARSAdapted_object: Create an MARSAdapted object

Description

This function saves information about the adapted Multivariate Adaptive Frontier Splines model.

Usage

MARSAdapted_object(
  data,
  x,
  y,
  rownames,
  nterms,
  Kp,
  d,
  err_red,
  minspan,
  endspan,
  na.rm,
  MARS.Forward,
  MARS.Forward.Smooth
)

Value

A MARSAdapted object.

Arguments

data: data.frame or matrix containing the variables in the model.
x: Column input indexes in data.
y: Column output indexes in data.
rownames: string. Data rownames.
nterms: Maximum number of terms created by the forward algorithm .
Kp: Maximum degree of interaction allowed. Default is 1.
d: Generalized Cross Validation (GCV) penalty per knot. Default is 2. If set to -1, GCV = RSS / n.
err_red: Minimum reduced error rate for the addition of two new basis functions. Default is 0.01.
minspan: Minimum number of observations between knots. When minspan = 0 (default), it is calculated as in Friedman's MARS paper section 3.8 with alpha = 0.05.
endspan: Minimum number of observations before the first and after the final knot. When endspan = 0 (default), it is calculated as in Friedman's MARS paper section 3.8 with alpha = 0.05.
na.rm: logical. If TRUE, NA rows are omitted.
MARS.Forward: The Multivariate Adaptive Frontier Splines model after applying the forward algorithm without the smoothing procedures
MARS.Forward.Smooth: The Multivariate Adaptive Frontier Splines model after applying the forward algorithm after applying the smoothing procedure