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coordImprecision() because output included units :(. responseCurves() for easy plotting of model response curves. predictEnmSdm() no longer fails for GLMs when newdata has more columns than necessary. trainMaxEnt() now removes over-parameterized models (thank you, ML!). trainNS() correctly records the scale statistics when argument scale = TRUE. trainByCrossValid() no longer crashes when trying to train MaxEnt models (thank you, ML!). trainGAM() does not include interaction terms if interaction is NULL, and does not fail when interactions are included and the number of predictors is >2 (thank you, P.T.!). modelSize() can now tell size of a ranger random forest.trainXYZ() functions (thank you, PT!).trainESM() for ensembles of small models.getCRS().predictEnmSdm() for predicting kernel density models from the ks package.trainGLM(), trainNS(), and predictEnmSdm() now have options to automatically center and scale predictors. If a GLM or NS model created using trainGLM() or trainSN() is provided to predictEnmSdm(), it will automatically scale the predictors properly.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)familypredictEnmSdm() 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 examplesAny scripts or data that you put into this service are public.
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