MALAlgcpSpatioTemporal.PlusPars: MALAlgcpSpatioTemporal.PlusPars function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

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

Usage

MALAlgcpSpatioTemporal.PlusPars(mcmcloop, inits, adaptivescheme, M, N, Mext,
  Next, mcens, ncens, formula, ZmatList, model.priors, model.inits, fftgrid,
  spatial.covmodel, nis, tdiff, cellarea, spatialvals, cellInside, MCMCdiag,
  gradtrunc, gridfun, gridav, d, aggtimes, spatialOnlyCovariates)

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.
ZmatList	list of design matrices 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
tdiff	vector of time differences
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
aggtimes	the aggregate times
spatialOnlyCovariates	whether this is a 'spatial' only problem

Value

output from the MCMC run

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.