fitModels: Fit a set of MaxEnt models using the maxnet package

In peterbat1/fitMaxnet: Fit MaxEnt Niche Models Using maxnet

Fit a set of MaxEnt models using the maxnet package

Description

A set of MaxEnt models will be fitted using the maxnet function in the package maxnet. A model will be fitted for each combination of replTags and multSet values.

Usage

fitModels(
  taxonName = NULL,
  occPath = NULL,
  backgroundPath = NULL,
  nBkgPoints = 5000,
  baseOutputPath = NULL,
  replTags = "",
  multSet = 1,
  outputType = "link"
)

Arguments

taxonName	The taxonomic name associated with a fitted model.
occPath	File system path to the file holding occurrence records and associated environmental data.
backgroundPath	File system path to a file holding a matrix of environmental data representing the background environment for the supplied occurrence data.
nBkgPoints	Number (integer) giving the number of background points to sub-sample from data in the file pointed to by backgroundPath.
baseOutputPath	File system path to the base folder to be used for model output. A sub-folder with the taxonomic name supplied in taxonName. It will be created if it doesn't already exist to receive output.
replTags	A character array of tags representing replicates to be fitted.
multSet	A numeric array of values to be used for overall regularisation multipliers. At least one value must be present which may be the default value of 1.
outputType	Character. Output scaling of fitted model: "link" is raw linear predictor scores, while "exponential", "logistic" and "cloglog" generate a non-linear re-scaling of the raw linear predictor scores. See maxnet for further information.

Value

Nothing

peterbat1/fitMaxnet documentation built on Sept. 17, 2024, 10:50 p.m.