Changes in version 2025-02-19                      

  - Added responseCurves() for easy plotting of model response curves.
  - Bug fix: predictEnmSdm() no longer fails for GLMs when newdata has
    more columns than necessary.
  - Bug fix: trainMaxEnt() now removes over-parameterized models (thank
    you, ML!).
  - Bug fix: trainNS() correctly records the scale statistics when
    argument scale = TRUE.
  - Bug fix: trainByCrossValid() no longer crashes when trying to train
    MaxEnt models (thank you, ML!).

                     Changes in version 2024-11-01                      

  - 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.!).

                     Changes in version 2024-10-02                      

  - modelSize() can now tell size of a ranger random forest.

                     Changes in version 2024-08-02                      

  - Clarified mis-leading help in several functions, including all the
    trainXYZ() functions (thank you, PT!).

                     Changes in version 2024-06-06                      

  - Replaced dependency on MuMIn with one one AICcmodavg for calculation
    of AICc. Received warning that MuMIn was going to be archived on
    CRAN.

                     Changes in version 2024-05-16                      

  - Added function trainESM() for ensembles of small models.
  - Added several UTM coordinate reference systems accessible through
    getCRS().
  - Fixed bug in predictEnmSdm() for predicting kernel density models
    from the ks package.

                     Changes in version 2023-09-07                      

  - Minor issue fixes with undocumented arguments for non-exported
    functions
  - Bug fix in squareCellRast() that occurred on Linux/Fedora

                     Changes in version 2023-06-11                      

  - Backwards incompatible: trainRF() uses ranger package for random
    forests (changed from randomForest package)
  - Backwards incompatible: geoFold() uses complete clustering method by
    default (changed from single)
  - New feature: trainGLM() and trainNS() can automatically scale
    predictors
  - New feature: Reworked trainGLM() to handle cases with large numbers
    of predictors
  - New feature: Added geoFoldContrast() for assigning geo-folds to
    background or absence sites
  - Better functionality: trainRF() now indicates if the response is
    binary using a binary argument (vs. family, which falsely implied
    more functionality than RFs have)

                     Changes in version 2023-05-22                      

  - Better functionality: Expanded capacity of .calcWeights() (a hidden
    function) to handle different values for family

                     Changes in version 2023-05-12                      

  - new feature: Added help page for troubleshooting running functions
    that support parallel operation
  - Bug fix: predictEnmSdm() when using a BRT model and predicting to a
    SpatRaster (thank you, Nikki C!)

                     Changes in version 2023-04-10                      

  - New feature: Users can select clustering method in geoThin() and
    geoFold() (thank you, Pascal T!)
  - Bug fix: Example in customCRS() when GADM server is down
  - Bug fix:geoThin() which returned input if it was a data.frame*
  - Bug fix:geoThin() which returned a data.frame lacking coordinates if
    input was a data.frame (thank you, Pascal T!)

                     Changes in version 2023-03-07                      

  - Bug fix: Removed Fedora issue with external link to raster package
  - Bug fix: Added rJava dependency

                     Changes in version 2023-03-06                      

  - 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.

                     Changes in version 2023-03-04                      

  - New feature: getCRS() (no arguments) now displays shiny table of all
    available CRSs
  - Bug fix: Fixed issue in nearestGeogPoints() when polygon lay under
    centroid
  - Bug fix: Fixed bug with "table" call of getCRS()

                     Changes in version 2023-02-02                      

  - Removed dependency on 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!
  - Added European Datum 1950 (ED50) to coordinate reference systems
    table
  - Added ability to export intermediate values for plotting in
    evalContBoyce()
  - Fixed spelling errors in crss data table (coordinate reference
    system names)

                 Changes in version 1.0.1 (2023-01-25)                  

  - New feature: summarizeByCrossValid() now summarizes natural spline
    (NS) models
  - Bug fix: Bug experienced by some users using predictEnmSdm() and
    predictMaxNet() (Thank you, Nikki!)
  - Bug fix: trainByCrossValid() using improper call to evalContBoyce()
  - Bug fix: extract() bug in some examples

                 Changes in version 1.0.0 (2022-12-12)                  

  - First release on CRAN