crossvalid: Cross validation routine for species distribution models

Description Usage Arguments

Description

repeated k-fold cross-validation. Calculate model preformance metrics, disribution, standard deviation and occurence maps.

Usage

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crossvalid(Ncv, Kfold, data, method, responsetype, response, predictors,
  secondary = NULL, strata, enviStack, enviPix, seed, check.names = TRUE,
  aggregated = NULL, pseudoabsence = NULL, gbm.trees = 2000,
  maxargs = c("outputformat=logistic", "defaultprevalence=0.5"),
  rast = TRUE, flat = FALSE, ...)

Arguments

Ncv

Number of cv repititions.

Kfold

Number of folds. Usually take 10 or 5.

rast

return list of metric and raster

flat

return model performance metrics only (as data.frame)

...

ellipsis is used to pass arguments to subsequent functions like threshold.def. See metrics for details


janhoo/quansdm documentation built on May 18, 2019, 2:38 p.m.