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trainGLM()
now allows users to remove models that did
not converge or had boundary problems. The function also works for
factor predictors with > 2 levels. Thank you, A.L.!trainNS()
works when the number of predictors is >2
and interactions are allowed between variables. Thank you, P.T.! It also
handles factors with >2 levels and allows users to remove models that
did not converge or had boundary problems. Thank you, A.L.!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)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.