calculateVIFandRemoveVariables: Calculate variance inflation factor (VIF) and remove...

In suyunkang/PrevalenceMapping: Prevalence Mapping

Description

The function checks for collinearity between variables and performs stepwise VIF selection. Source: https://beckmw.wordpress.com/2013/02/05/collinearity-and-stepwise-vif-selection/.

Usage

calculateVIFandRemoveVariables(response, raster_stack, thresh = 10,
  trace = T, ...)

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 (These are the environmental covariates).
thresh	The threshold value used for retaining variables, Default: 10.
trace	A logical argument indicating if text output is returned as the stepwise selection progresses, Default: T.
...	Additional arguments passed to ‘lm’

Details

DETAILS

Value

OUTPUT_DESCRIPTION

Author(s)

Marcus W. Beck

Examples

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

## End(Not run)

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