m2LL.FPBK.nodet: Covariance Parameter Estimation Function.
In sptotal: Predicting Totals and Weighted Sums from Spatial Data

m2LL.FPBK.nodet

R Documentation

Covariance Parameter Estimation Function.

The primary purpose of m2LL.FPBK.nodet() is to estimate the spatial covariance parameters using REML. This is a helper function to slmfit().

m2LL.FPBK.nodet(theta, zcol, XDesign, distmat, CorModel, estmethod)

`theta`	is the parameter vector of (nugget, partialsill, range)
`zcol`	is the response vector of densities
`XDesign`	is the design matrix containing the covariates used to predict animal or plant abundance (including a column of 1's for the intercept).
`distmat`	is the distance matrix of the sampled sites
`CorModel`	is the geostatistical spatial correlation model to be used. See the `corModels` documentation for possible models to use.
`estmethod`	is either "REML" for restricted maximum likelihood or "ML" for maximum likelihood.