R: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling

# A Modular, Integrated Approach to Maximum Entropy Distribution Modeling

## Documentation for package ‘MIAmaxent’ version 1.4.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

calculateRVA | Calculates variable contributions as RVA
chooseModel | Trains a model containing the explanatory variables specified.
deriveVars | Derive variables by transformation.
plotFOP | Plot Frequency of Observed Presence (FOP).
plotResp | Plot model response.
plotResp2 | Plot model response.
projectModel | Project model across explanatory data.
readData | Read in data object from files.
selectDVforEV | Select parsimonious sets of derived variables.
selectEV | Select parsimonious set of explanatory variables.
testAUC | Calculate model AUC with test data.
toydata_dvs | Derived variables and transformation functions, from toy data.
toydata_seldvs | Selected derived variables accompanied by selection trails, from toy data.
toydata_selevs | Selected explanatory variables accompanied by selection trails, from toy data.
toydata_sp1po | Occurrence and environmental toy data.