enmSdmX 1.1.9 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, Pascal!).
enmSdmX 1.1.8 2024-10-02
modelSize()
can now tell size of a ranger
random forest.
enmSdmX 1.1.7 2024-08-02
- Clarified mis-leading help in several functions, including all the
trainXYZ()
functions (thank you, PT!).
enmSdmX 1.1.6 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.
enmSdmX 1.1.5 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.
enmSdmX 1.1.3 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.
enmSdmX 1.1.3 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)
enmSdmX 1.1.2 2023-09-07
- Minor issue fixes with undocumented arguments for non-exported
functions
- Bug fix in
squareCellRast()
that occurred on
Linux/Fedora
enmSdmX 1.1.1 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)
enmSdmX 1.0.6 2023-05-22
- Better functionality: Expanded capacity of .calcWeights() (a hidden
function) to handle different values for
family
enmSdmX 1.0.5 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!)
enmSdmX 1.0.4 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!)
enmSdmX 1.0.3 2023-03-07
- Bug fix: Removed Fedora issue with external link to
raster
package
- Bug fix: Added
rJava
dependency
enmSdmX 1.0.2 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()
enmSdmX 1.0.1
- 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
enmSdmX 1.0.0