multiscale_gwr.cv {mgwrsar}

multiscale_gwr.cv to be documented (experimental)

Description

multiscale_gwr.cv to be documented (experimental)

Usage

multiscale_gwr.cv(dataName, argDataName="data", target='Y', K=5, regFun, par_model,
par_model2=NULL,regFun2=NULL, predFun, args_predNames, extra_args_pred=NULL,
namesXtraArgs2Split=NULL,myseed=1)

Arguments

dataName

character, name of the data

argDataName

character, generic name to use as data name.

target

character, name of variable to explain

K

integer, number of folds for cross validation

regFun

character, name of the estimation function

par_model

named list with the arguments for the estimation function

par_model2

to be documented

regFun2

to be documented

predFun

character, name of the prediction function

args_predNames

named list with the arguments for the prediction function

extra_args_pred

named list with extra arguments for non generic prediction function

namesXtraArgs2Split

character, names of the objects in extra_args_pred that need to be split for cross validation.

myseed

seed for random number.