Description Usage Arguments Value
A function to run the MCMC algorithm for spatial point process data. Not for general purpose use.
1 2 3 4 | 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)
|
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 |
output from the MCMC run
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