m2LL.FPBK.det: Covariance Parameter Estimation Function.
In highamm/FPBK-with-Detection: Finite Population Block Kriging with Detection

The primary purpose of m2LL.FPBK.det is to estimate the spatial covariance parameters using Maximum Liklihood when detection is included.

1	m2LL.FPBK.det(theta, zcol, XDesign, xcoord, ycoord, CorModel, pivec, Vnn)

`theta`	is the parameter vector of (nugget, partialsill, range)
`zcol`	is the response vector of counts
`XDesign`	is the design matrix containing the covariates used to predict animal or plant abundance (including a column of 1's for the intercept).
`xcoord`	is a vector of the x spatial coordinates (in UTM)
`ycoord`	is a vector of the y spatial coordinates (in UTM)
`CorModel`	is the geostatistical spatial correlation model to be used. See the `corModels` documentation for possible models to use.
`pivec`	is a vector of estimated detection probabilities on each of the sites
`Vnn`	is the covariance matrix for the estimated detection probabilities