Description Usage Arguments Value
A function to run the MCMC algorithm for multivariate spatial point process data. Not for general purpose use.
1 2 3 4 | MALAlgcpMultitypeSpatial.PlusPars(mcmcloop, inits, adaptivescheme, M, N, Mext,
Next, mcens, ncens, formulaList, zml, Zmat, model.priorsList, model.initsList,
fftgrid, spatial.covmodelList, nis, cellarea, spatialvals, cellInside,
MCMCdiag, gradtrunc, gridfun, gridav, marks, ntypes, 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 |
formulaList |
a list of formula objects of the form X ~ var1 + var2 etc. |
zml |
list of design matrices |
Zmat |
a design matrix constructed using getZmat |
model.priorsList |
list of model priors, see lgcpPriors |
model.initsList |
list of model initial values, see lgcpInits |
fftgrid |
an objects of class FFTgrid, see genFFTgrid |
spatial.covmodelList |
list of spatial covariance models constructed using 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 |
marks |
the marks from the marked ppp object |
ntypes |
the number of types being analysed |
d |
matrix of toral distances |
output from the MCMC run
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