A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.
proposalVariance_gridded(
X,
surv,
betahat,
omegahat,
Yhat,
priors,
cov.model,
u,
control
)the design matrix, containing covariate information
an object of class Surv
an estimate of beta
an estimate of omega
an estimate of Y
the priors
the spatial covariance model
a vector of pairwise distances
a list containg various control parameters for the MCMC and post-processing routines
an estimate of eta and also an approximate scaling matrix for the MCMC