mod_sel: Model selection and creation of MaxEnt arguments for selected...

In HemingNM/ENMwizard: Advanced Techniques for Ecological Niche Modeling Made Easy

Model selection and creation of MaxEnt arguments for selected models

Description

This function will read an object of class ENMevaluation (See ?ENMeval::ENMevaluate for details) and return the results table with models selected by the chosen criteria. It can also return the necessary arguments for final model calibration and predictions.

Usage

mod_sel(
  x,
  mSel = c("AvgAIC", "EBPM", "WAAUC", "ESORIC", "LowAIC", "OR", "AUC"),
  wAICsum = 0.99,
  dAICc = 2,
  AUCmin = 0.7,
  randomseed = FALSE,
  responsecurves = TRUE,
  arg1 = "noaddsamplestobackground",
  arg2 = "noautofeature",
  save = "M"
)

Arguments

x	Object of class ENMevaluation
mSel	Character vector. Which criteria to use when selecting model(s). Currently implemented: "AvgAIC", "LowAIC", "OR", "AUC"
wAICsum	Cumulative sum of top ranked models for which arguments will be created
dAICc	Maximum delta AICc of models to be selected.
AUCmin	Minimum AUC value to select models using EBPM criteria.
randomseed	logical. Args to be passed to dismo::maxent. See ?dismo::maxent and the MaxEnt help for more information.
responsecurves	logical. Args to be passed to dismo::maxent. See ?dismo::maxent and the MaxEnt help for more information.
arg1	charater. Args to be passed to dismo::maxent. See ?dismo::maxent and the MaxEnt help for more information.
arg2	charater. Args to be passed to dismo::maxent. See ?dismo::maxent and the MaxEnt help for more information.
save	Should save args only ("A"), selected models only ("M") or both ("B")?

Value

A vector of args (if save="A"), data.frame of selected models (if save="M") or a list with both, args and selected models, (if save="B")

See Also

calib_mdl, calib_mdl_b, maxent, ENMevaluate, proj_mdl, proj_mdl_b

Examples

## Not run: 
ENMeval.res.lst <- ENMevaluate(occ.locs, occ.b.env, parallel = F , numCores = 1)
mod_sel(ENMeval.res.lst[[1]])

## End(Not run)

HemingNM/ENMwizard documentation built on Jan. 4, 2024, 3:24 p.m.