varexp: Calculates experimental population-weighted semi-variogram
In maluicr/blockdss: Disease Mapping with Block Direct Sequential Simulation

varexp

R Documentation

Calculates experimental population-weighted semi-variogram

Calculates experimental population-weighted semi-variograms from disease incidence rates. For now is only implemented in omnidirectional case.

varexp(dfobj, lag, nlags)

`dfobj,`	string, name of list, output of function irates()
`lag,`	numeric, the lag distance used for semi-variogram estimates
`nlags,`	numeric, the number of lags to calculate semi-variogram

The function returns a list with the variance and semi-variogram estimates weighted by population size at nlags:

`weightsvar`	is the value of the weighted population variance
`semivar`	a dataframe with a vector of distances, a vector of experimental semivariogram values and number of pairs