estcovparm {sptotal} | R Documentation |
Estimate Covariance Parameters
Description
Used to estimate spatial covariance parameters for a few different spatial models.
Estimated parameters can then be used in predict.slmfit()
to predict values at unobserved locations.
Usage
estcovparm(
response,
designmatrix,
xcoordsvec,
ycoordsvec,
CorModel = "Exponential",
estmethod = "REML",
covestimates = c(NA, NA, NA)
)
Arguments
response |
a vector of a response variable, possibly with missing values. |
designmatrix |
is the matrix of covariates used to regress the response on. |
xcoordsvec |
is a vector of x coordinates |
ycoordsvec |
is a vector of y coordinates |
CorModel |
is the covariance structure. By default,
|
estmethod |
is either the default |
covestimates |
is an optional vector of covariance parameter estimates (nugget, partial sill, range). If these are given and |
Details
The function is a helper function used internally in predict.slmfit()
.
Value
a list with
-
parms.est
, a vector of estimated covariance parameters -
Sigma
, the fitted covariance matrix for all of the sites -
qrV
, the qr decomposition -
b.hat
, the vector of estimated fixed effect coefficients -
covbi
, the inverse of the covariance matrix for the fixed effects -
covb
, the covariance matrix for the fixed effects -
min2loglik
, minus two times the loglikelihood