View source: R/8.2.f.metrics.OR.ensemble.R
get_or_ensemble_b | R Documentation |
This function will compute the omission rate (OR) for each species' ensembled model from a 'mcmp.l' object, based on the selected threshold value.
get_or_ensemble_b(
mcm.l,
a.calib.l,
ORt = seq(0, 0.2, 0.05),
userArgs = NULL,
categoricals = NULL,
numCores = 1
)
mcm.l |
A list of objects returned by "calib_mdl", containing calibrated models. |
a.calib.l |
List of predictors (cropped environmental variables) for model tuning. Used in model calibration. Argument 'x' of dismo::maxent. Raster* object or SpatialGridDataFrame, containing grids with predictor variables. These will be used to extract values from for the point locations. Can also be a data.frame, in which case each column should be a predictor variable and each row a presence or background record.. |
ORt |
Threshold value to be used to compute OR |
userArgs |
character vector; use this to pass other arguments (e.g., prevalence) to the 'maxent' call. Note that not all options are functional or relevant. |
categoricals |
Vector indicating which (if any) of the input environmental layers are categorical. |
numCores |
Number of cores to use for parallelization. If set to 1, no paralellization is performed |
Data frame with average and variance of OR values across partition groups of data
get_or_ensemble
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