View source: R/models_evaluation.R
models_evaluation | R Documentation |
full models evaluation
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")
)
Pred |
Data frame with predicted niche models. Alternatively it can be an object class NINA, in which case |
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" |
Returns an error if filename
does not exist.
List
## Not run:
EN = EN_model(env_data, occ_data1, cluster = "env", n.clus = 5)
eval = models_evaluation(EN)
print(eval)
## End(Not run)
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