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trainESM()
for ensembles of small models.getCRS()
.precidtEnmSdm()
for predicting kernel density models from the ks package.trainGLM()
, trainNS()
, and predictEnmSdm()
now have options to automatically center and scale predictors.dismo
, replaced where possible by predicts
; copied gbm.step()
and predict()
method for MaxEnt to enmSdmX
as a momentary fix; would love a professional solution!evalContBoyce()
crss
data table (coordinate reference system names)squareCellRast()
that occurred on Linux/FedoratrainRF()
uses ranger
package for random forests (changed from randomForest
package)geoFold()
uses complete
clustering method by default (changed from single
)trainGLM()
and trainNS()
can automatically scale predictorstrainGLM()
to handle cases with large numbers of predictorsgeoFoldContrast()
for assigning geo-folds to background or absence sitestrainRF()
now indicates if the response is binary using a binary
argument (vs. family
, which falsely implied more functionality than RFs have)family
predictEnmSdm()
when using a BRT model and predicting to a SpatRaster
(thank you, Nikki C!)geoThin()
and geoFold()
(thank you, Pascal T!)customCRS()
when GADM server is downgeoThin()
which returned input if it was a data.frame
*geoThin()
which returned a data.frame
lacking coordinates if input was a data.frame
(thank you, Pascal T!)raster
packagerJava
dependencygetCRS()
(no arguments) now displays shiny
table of all available CRSsnearestGeogPoints()
when polygon lay under centroidgetCRS()
summarizeByCrossValid()
now summarizes natural spline (NS) modelspredictEnmSdm()
and predictMaxNet()
(Thank you, Nikki!)trainByCrossValid()
using improper call to evalContBoyce()
extract()
bug in some examplesThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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