target.and.grad.spatiotemporal {lgcp} | R Documentation |
target.and.grad.spatiotemporal function
Description
A function to compute the target and gradient for 'spatial only' MALA
Usage
target.and.grad.spatiotemporal(
Gamma,
nis,
cellarea,
rootQeigs,
invrootQeigs,
mu,
spatial,
logspat,
temporal,
bt,
gt,
gradtrunc
)
Arguments
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 |
Value
the back-transformed Y, its exponential, the log-target and gradient for use in MALAlgcp
[Package lgcp version 2.0 Index]