FitModel: Fit a model with INLA

In oharar/PointedSDMs: Fit Models derived from Point Processes to Species Distributions using INLA

Fit a model with INLA

Description

Fit a model with INLA

Usage

FitModel(..., formula = NULL, CovNames = NULL, mesh, spat.ind = "i",
  predictions = FALSE, tag.pred = "pred", control.fixed = NULL,
  waic = FALSE, dic = FALSE)

Arguments

...	Data stacks.
formula	If not NULL (the default), the formula to be used in the model fitting. Does not have to contain the spatial term if spat.ind is specified.
CovNames	Names of covariates to use. If NULL will use all in stack effects.
mesh	INLA mesh.
spat.ind	Index for spatial mesh. Defaults to i (which is used elsewhere n this package). Set to NULL if no spatial term is wanted.
predictions	Boolean: should predictions (on the linear scale) be made? Defaults to FALSE.
tag.pred	Name of tag for predictions. Defaults to "pred".
control.fixed	List of arguments to be passed to INLA via control.fixed (e.g. parameters of priors of fixed effects). Default is NULL.
waic	Should wAIC be calculated? Defaults to FALSE.
dic	Should DIC be calculated? Defaults to FALSE.

Value

If predictions is TRUE, a list with - model: an object of class INLA, with the results of the analysis in them. . predictions: Posterior means and standard deviationsfor linear predictor for predictions. Note that If predictions is FALSE, just the model.

oharar/PointedSDMs documentation built on July 11, 2022, 11:20 a.m.