A function to run the MCMC algorithm for multivariate spatial point process data. Not for general purpose use.
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
)
details of the mcmc loop
initial values
the adaptive MCMC scheme
number of grid cells in x direction
number of grid cells in y direction
number of extended grid cells in x direction
number of extended grid cells in y direction
centroids in x direction
centroids in y direction
a list of formula objects of the form X ~ var1 + var2 etc.
list of design matrices
a design matrix constructed using getZmat
list of model priors, see lgcpPriors
list of model initial values, see lgcpInits
an objects of class FFTgrid, see genFFTgrid
list of spatial covariance models constructed using CovFunction
cell counts on the etended grid
the cell area
inerpolated poisson offset on fft grid
0-1 matrix indicating inclusion in the observation window
not used
gradient truncation parameter
used to specify other actions to be taken, e.g. dumping MCMC output to disk.
used for computing Monte Carlo expectations online
the marks from the marked ppp object
the number of types being analysed
matrix of toral distances
output from the MCMC run