Test multicollinearity of matching covariates — test

The function provides a correlation plot of the (numeric) covariates, and iteratively reports (Generalized) Variance Inflation Factors of the different covariates. After each iteration, the used is prompted whether a matching covariate should be omitted.

Usage

test_multicollinearity(
  matching_input,
  colname.id,
  colname.treatment,
  colnames.ignore = NULL
)

Arguments

matching_input: list with names elements "data" and "spat.ref". Output of [collate_matching_layers()].
colname.id: character. Name of the column containing the unique ID of the spatial unit of analysis. Defaults to "cell" if `matching_input$spat.ref` is a SpatRaster.
colname.treatment: character. Name of the column containing the treatment variable. Defaults to "treatment" if `matching_input$spat.ref` is a SpatRaster
colnames.ignore: character vector. Name of columns (other than `colname.id` and `colname.treatment`) in `matching_input` to be ignored as matching covariates.

Value

list. Similar to `matching_input`, with optionally covariates in the data.table under "data" omitted.