MALAlgcpSpatial.PlusPars {lgcp} | R Documentation |
MALAlgcpSpatial.PlusPars function
Description
A function to run the MCMC algorithm for spatial point process data. Not for general purpose use.
Usage
MALAlgcpSpatial.PlusPars(
mcmcloop,
inits,
adaptivescheme,
M,
N,
Mext,
Next,
mcens,
ncens,
formula,
Zmat,
model.priors,
model.inits,
fftgrid,
spatial.covmodel,
nis,
cellarea,
spatialvals,
cellInside,
MCMCdiag,
gradtrunc,
gridfun,
gridav,
d
)
Arguments
mcmcloop |
details of the mcmc loop |
inits |
initial values |
adaptivescheme |
the adaptive MCMC scheme |
M |
number of grid cells in x direction |
N |
number of grid cells in y direction |
Mext |
number of extended grid cells in x direction |
Next |
number of extended grid cells in y direction |
mcens |
centroids in x direction |
ncens |
centroids in y direction |
formula |
a formula object of the form X ~ var1 + var2 etc. |
Zmat |
design matrix constructed using getZmat |
model.priors |
model priors, constructed using lgcpPrior |
model.inits |
initial values for the MCMC |
fftgrid |
an objects of class FFTgrid, see genFFTgrid |
spatial.covmodel |
spatial covariance model, consructed with CovFunction |
nis |
cell counts on the etended grid |
cellarea |
the cell area |
spatialvals |
inerpolated poisson offset on fft grid |
cellInside |
0-1 matrix indicating inclusion in the observation window |
MCMCdiag |
not used |
gradtrunc |
gradient truncation parameter |
gridfun |
used to specify other actions to be taken, e.g. dumping MCMC output to disk. |
gridav |
used for computing Monte Carlo expectations online |
d |
matrix of toral distances |
Value
output from the MCMC run