fit.marked.lgcp: Fitting a marked point process model

In cmjt/lgcpSPDE: Fitting and Simulation for log-Gaussian Cox processes using INLA/SPDE approach

Description

Fits a spatio-temporal marked point process model using INLA coupled with the SPDE approch

Usage

fit.marked.lgcp(mesh = NULL, locs = NULL, t.index = NULL, mark = NULL,
  covariates = NULL, mark.family = "gaussian", verbose = FALSE,
  prior.rho = list(theta = list(prior = "pccor1", param = c(0, 0.9))),
  prior.range = c(400, 0.5), prior.sigma = c(1, 0.05), hyper = list(theta
  = list(prior = "normal", param = c(0, 10))), control.compute = list(dic =
  TRUE, waic = TRUE, cpo = TRUE, config = TRUE), control.inla = list(strategy
  = "gaussian", int.strategy = "eb"), link = NULL, pp.int = FALSE,
  mark.int = FALSE, ...)

Arguments

mesh	delauney triangulation of area, an object returned by make.mesh is suitable.
locs	a matrix of nrow locations in ncol dimesions.
t.index	a vector of length nrow of time index units refering to each point location given in locs.
mark	a vector of length nrow of marks refering to each point location
covariates	a matrix of covariates (for the mark) with named columns.
mark.family	assumed likelihood for mark, by defalt "gaussian". Ignored if mark is NULL.
verbose	Logical, if TRUE, model fitting is output the console.
prior.range	pc prior for the range of the latent field (rnage0,Prange) (i.e., P(range < range0) = Prange NOTE should be changed to reflect range of the domain by default this is 400, see Martins, Thiago G., et al. "Penalising model component complexity: A principled, practical approach to constructing priors." (2014) for more details.
prior.sigma	pc prior for the sd of the latent field (sigma0,Psigma) by default c(1,0.05) i.e., prob sigma > 1 = 0.05
hyper	prior for the copy parameter by default is a N(0,10) i.e., list(theta=list(prior='normal', param=c(0,10)))
control.compute	a list of fit statistics the user wants INLA to return. By default this is list(dic = TRUE, waic = TRUE,cpo = TRUE, config = TRUE).
control.inla	a list which controls the fitting procedures INLA uses see Blangiardo, Marta, et al. "Spatial and spatio-temporal models with R-INLA." Spatial and spatio-temporal epidemiology 4 (2013) by default this is list(strategy='gaussian',int.strategy = 'eb') for quick and dirty fitting.
pp.int	Logical, should an intercept term for the lgcp be included. By default FALSE. If TURE alpha0 estimated.
mark.int	Logical, should an interpect term for the mark be included. By default FALSE. If TRUE beta0 estimated.
...	other inla arguments

Value

An inla model fit object,

cmjt/lgcpSPDE documentation built on July 25, 2019, 3:05 p.m.