varmodel: Fit a theoretical semi-variogram to data
In maluicr/blockdss: Disease Mapping with Block Direct Sequential Simulation

varmodel

R Documentation

Fit a theoretical semi-variogram to data

Description

Function fits (manually) a theoretical semi-variogram. For now, model types available are spherical ('sph') and exponential ('exp'). Users should provide the experimental semi-variogram, fit a model type and set the semi-variogram parameters (nugget, range and sill). With base function plot(), results can be visualized.

Usage

varmodel(varexp, mod = c("exp", "sph"), nug, ran, sill)

Arguments

`varexp,`	string, name of object, output of function 'varexp()'
`mod,`	character, the semi-variogram model type ('sph' or 'exp')
`nug,`	numeric, nugget-effect value of the semi-variogram
`ran,`	numeric, range value of the semi-variogram
`sill,`	numeric, sill (or partial sill) value of the semi-variogram

Value

Function returns the following list of objects:

`structures`	the number of spatial strutures (excluding nugget-effect)
`parameters`	a dataframe with model information to be passed to ssdpars()
`fittedval`	a numeric vector of fitted values as set by the semi-variogram model