findModelWithSmallestDIC: Find the best spatial model, i.e. the model with the smallest...

In suyunkang/PrevalenceMapping: Prevalence Mapping

Description

The function performs forward and backward elimination of variables in order to find the spatial model with a set of covariates that result in the smallest DIC.

Usage

findModelWithSmallestDIC(response, raster_stack, A_mat, spde,
  family = "binomial", save_output = TRUE)

Arguments

response	A data frame containing the response data including number of positive cases (n_positive), number of individuals examined (examined), and point locations (longitude and latitude).
raster_stack	A collection of RasterLayer objects with the same spatial extent and resolution.
A_mat	An observation/prediction weight matrix returned from makeMeshSPDE.
spde	An inla.spde2 model object for a Matern model returned from makeMeshSPDE.
family	A string indicating the likelihood family, Default: ‘binomial’.
save_output	A logical argument indicating if output to be saved to a csv file, Default: TRUE.

Details

DETAILS

Value

OUTPUT_DESCRIPTION

Examples

## Not run: 
if(interactive()){
 #EXAMPLE1
 }

## End(Not run)

suyunkang/PrevalenceMapping documentation built on May 10, 2019, 1:52 a.m.