multiscale_gwr.cv: multiscale_gwr.cv to be documented (experimental)

In mgwrsar: GWR and MGWR with Spatial Autocorrelation

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.

mgwrsar documentation built on April 17, 2023, 9:09 a.m.