model_gpm: Gaussian Process Model.
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model_gpm

R Documentation

Gaussian Process Model.

Description

Estimates a Gaussian Process Model.

Usage

model_gpm(
  mydf = NULL,
  myresponse = NULL,
  myterms = NULL,
  sigmafrom = 0.01,
  sigmato = 2,
  sigmaby = 0.01,
  myfolds = 10,
  myseed1 = 123,
  myseed2 = 456
)

Arguments

`mydf`	input data frame
`myresponse`	the name of the dependent variable for the GPM model. This will normally be the residuals of the OLS model: "residuals".
`myterms`	a character vector containing the names of the independent variables.
`sigmafrom`	the lower limit of the test range for sigma
`sigmato`	the upper limit of the test range for sigma
`sigmaby`	the increment of the test values for sigma
`myfolds`	the number of folds for k-fold cross-validation
`myseed1`	the first random number seed
`myseed2`	the second random number seed