maxent_selection: Select sets of uncorrelated variables for maxent modeling

In juoe/sdmflow: Flexible Workflows for Species Distribution Modeling

Description

Select sets of uncorrelated variables for maxent modeling

Usage

maxent_selection(x, p, cor_thresh = 0.7, con_thresh = 5,
  return_model = TRUE, ...)

Arguments

x	A data frame of predictor variables.
p	A binary vector of presence/background values.
cor_thresh	Maximum level of Pearson's correlation for candidate variables.
con_thresh	Minimum percent contribution of candidate variables.
return_model	Boolean. Whether to return the maxent model object. Otherwise a vector with selected variables is returned.
...	arguments passed on to dismo::maxent()

Value

Maxent model or vector with selected variables.

juoe/sdmflow documentation built on Feb. 23, 2020, 7:38 p.m.