Usage
MALAlgcp(mcmcloop, inits, adaptivescheme, M, N, Mext, Next, sigma, phi, theta,
mu, nis, cellarea, spatialvals, temporal.fitted, tdiff, scaleconst, rootQeigs,
invrootQeigs, cellInside, MCMCdiag, gradtrunc, gridfun, gridav, mcens, ncens,
aggtimes)
Arguments
mcmcloop
an mcmcLoop object
inits
initial values from mcmc.control
adaptivescheme
adaptive scheme from mcmc.control
M
number of cells in x direction on output grid
N
number of cells in y direction on output grid
Mext
number of cells in x direction on extended output grid
Next
number of cells in y direction on extended output grid
sigma
spatial covariance parameter sigma
phi
spatial covariance parameter phi
theta
temporal correlation parameter theta
mu
spatial covariance parameter mu
spatialvals
spatial at risk, function lambda, interpolated onto the requisite grid
temporal.fitted
temporal fitted values representing mu(t)
tdiff
vecto of time differences with convention that the first element is Inf
scaleconst
expected number of observations
rootQeigs
square root of eigenvalues of precision matrix
invrootQeigs
inverse square root of eigenvalues of precision matrix
cellInside
logical matrix dictating whether cells are inside the observation window
gradtrunc
gradient truncation parameter
gridav
grid average functions
mcens
x-coordinates of cell centroids
ncens
y-coordinates of cell centroids
aggtimes
z-coordinates of cell centroids (ie time)