target.and.grad.spatiotemporal: target.and.grad.spatiotemporal function
In bentaylor1/lgcp: Log-Gaussian Cox Process

A function to compute the target and gradient for 'spatial only' MALA

1 2	target.and.grad.spatiotemporal(Gamma, nis, cellarea, rootQeigs, invrootQeigs, mu, spatial, logspat, temporal, bt, gt, gradtrunc)

`Gamma`	current state of the chain, Gamma
`nis`	matrix of cell counts
`cellarea`	area of cells, a positive number
`rootQeigs`	square root of the eigenvectors of the precision matrix
`invrootQeigs`	inverse square root of the eigenvectors of the precision matrix
`mu`	parameter of the latent Gaussian field
`spatial`	spatial at risk function, lambda, interpolated onto correct grid
`logspat`	log of spatial at risk function, lambda*scaleconst, interpolated onto correct grid
`temporal`	fitted temoporal values
`bt`	in Brix and Diggle vector b(delta t)
`gt`	in Brix and Diggle vector g(delta t) (ie the coefficient of R in G(t)), with convention that (deltat[1])=Inf
`gradtrunc`	gradient truncation parameter