vif_covariate_select

Run variance inflation factor (VIF) selection on input covariates

Modern model-based geostatistics for point-referenced data. This package provides a
simple interface to run spatial machine learning models and geostatistical models
that estimate a continuous (raster) surface from point-referenced outcomes and,
optionally, a set of raster covariates. The package also includes functions to
summarize raster outcomes by (polygon) region while preserving uncertainty.

Nathaniel Henry

Model-Based Geostatistics

Benjamin Mayala

vif_covariate_select function

<dl><dt>dataset</dt>
<dd>data.frame-like object with named columns containing all covariates to
consider in the VIF analysis.</dd>
<dt>vif_cutoff</dt>
<dd>(<code>numeric(1)</code>) Cutoff for maximum variance inflation factor in
<code>dataset</code></dd></dl>

Arguments

Run variance inflation factor (VIF) selection on input covariates — vif_covariate_select

<dl>

<dt>dataset</dt>
<dd>data.frame-like object with named columns containing all covariates to
consider in the VIF analysis.</dd>


<dt>vif_cutoff</dt>
<dd>(<code>numeric(1)</code>) Cutoff for maximum variance inflation factor in
<code>dataset</code></dd>

</dl>

vif_covariate_select: Run variance inflation factor (VIF) selection on input covariates

Description

Usage

Value

Arguments