models_evaluation: MODEL EVALUATION FUNCTION

In agarciaEE/NINA: Niche Interaction Network Analyses

MODEL EVALUATION FUNCTION

Description

full models evaluation

Usage

models_evaluation(
  Pred,
  Obs,
  predictors,
  spsNames = NULL,
  th = NULL,
  ras = NULL,
  int.matrix = NULL,
  sample.pseudoabsences = TRUE,
  res = NULL,
  plot = FALSE,
  rep = 100,
  best.th = c("accuracy", "similarity")
)

Arguments

Pred	Data frame with predicted niche models. Alternatively it can be an object class NINA, in which case Obs and predictors is omitted.
Obs	Occurrence dataset
predictors	Environmental predictors
spsNames	species names to evaluate
th	threshold to perform cut off
ras	raster to constrain pseudoabsences sampling
int.matrix	interaction matrix between species and interactors
sample.pseudoabsences	Boolean to whether sample pseudo-absences
res	spatial resolution
plot	Boolean to whether plot the evaluation
rep	number of randomzation tests
best.th	method to select the best thresholt. Default is "similarity"

Details

Returns an error if filename does not exist.

Value

List

Examples

## Not run: 
EN = EN_model(env_data, occ_data1, cluster = "env", n.clus = 5)
eval = models_evaluation(EN)
print(eval)

## End(Not run)

agarciaEE/NINA documentation built on Jan. 9, 2025, 10:09 a.m.