MALAlgcpMultitypeSpatial.PlusPars {lgcp}

MALAlgcpMultitypeSpatial.PlusPars function

Description

A function to run the MCMC algorithm for multivariate spatial point process data. Not for general purpose use.

Usage

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
)

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

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

Value

output from the MCMC run