SDMtune 1.3.3
- Update tests for
ggplot2to be compatible with version 4.0.0 (thanks to @teunbrand for the PR). - Fix typo in CITATION file (thanks to @SethMusker for the PR).
SDMtune 1.3.0
CRAN release: 2023-05-02
- Add function to combine cross validation models
- Improve show method for package outputs
- Fix CRAN note for undeclared package in Rd file
SDMtune 1.2.0
CRAN release: 2022-12-14
-
SDMtunemigrated to packageterrato handle spatial data. Objects created with the packagerasterwill not be supported in future releases -
SDMtunehas a new progress bar and messages/warnings/errors have a new look -
modelReport(),prepareSWD,reduceVariable(),thinData(), andvarSel()gain the argumentverboseto disable informative messages -
gridSearch(),optimizeModel(),randomSearch(),reduceVar(), andvarSel()gain the argumentinteractiveto disable the interactive real-time chart -
doJk(),gridSearch(),optimizeModel(),predict(),randomSearch(),thinData(),train(),varImp(), andvarSel()gain the argumentprogressto disable the progress bar - The function
thinData()prints a message with the number of removed locations - The argument
factorsinmodelReport()is deprecated. Seeterradocumentation to see how to use factors during predictions
Bug fixes:
SDMtune 1.1.5
CRAN release: 2021-07-17
Bug fixes:
- Allow fold partitions created with
ENMeval>= 2.0 - Fix error generated when plotting response for categorical predictors using RF
- Update maxnet to version 0.1.4 to solve issue in cran checks
SDMtune 1.1.4
CRAN release: 2021-03-14
Bug fixes: Add the argument factors to the function modelReport() to allow predictions for raster objects including categorical variables
SDMtune 1.1.2
CRAN release: 2020-10-02
- Removed deprecated function
get_tunable_args(). - Removed deprecated argument “parallel” form functions.
- Updated citation text
SDMtune 1.1.1
CRAN release: 2020-07-17
Main changes:
- New function
checkMaxentInstallation()to check if Maxent is correctly configured. - The argument parallel is deprecated and not used anymore. This because it improved computation only for very large datasets and used the superseded package snow.
- The function
get_tunable_args()has been replaced bygetTunableArgs()to be consistent with the camel case function naming. At the moment is still possible to use both functions butget_tunable_args()will be deprecated in the next release. - Four new vignette are now available with the package.
Bug fix: plotPA function now works also with new version of ggplot2.
SDMtune 1.1.0
CRAN release: 2020-03-11
Main changes:
- The function
thinDataaccept now a matrix or a dataframe with several columns, useful if the users has information related to the coordinates that doesn’t want to lose with the thinning procedure. - The function
plotResponseplots the response for the full range of presences and backgrounds/absences when only_presence is TRUE, only_presence is unused only to compute the provided function to the range of presence locations when marginal = TRUE
Bug fix:
- Interactive plot of SDMtune objects are again displayed in the RStudio Viewer pane
SDMtune 1.0.1
CRAN release: 2019-12-17
Bug fixes:
- Fix CRAN errors
- Fix bug introduced with version 1.0.0
SDMtune 1.0.0
CRAN release: 2019-12-10
Main changes:
- In this release all deprecated functions and functions’ arguments have been removed, including the functions to convert old objects (created with version < 0.2.0.) into the new format.
- Add function
addSamplesToBgto add presence locations to background location. -
extra_argsin Maxent models cannot be changed anymore.
Bug fix: Fix CRAN error for r-oldrel
SDMtune 0.2.1
CRAN release: 2019-12-05
Main changes:
- New function to predict
SDMmodelCVobjects - Add the possibility to pass multiple methods to the
trainfunction - Add possibility to compute the testing AUC or TSS for a held apart testing dataset in the case of a
SDMmodelCVobject - Add the possibility to merge only the presence locations in the
mergeSWDfunction
Bug fixes:
-
plotPAfunction now works also with large raster objects - Removed font family from plot functions to avoid errors when the font is not available
SDMtune 0.2.0
CRAN release: 2019-09-02
This release is the first step to enable more methods to train models. The main change is that the SDW object now bundles together the presence and the absence/background locations and is not necessary anymore to pass the presence and absence locations as separate arguments to the train function.
Old objects of class SWD, SDMmodel, SDMmodelCV and SDMtune created with version <= 0.1.1 must be converted into the new format using the dedicated help functions.
Main changes:
- The
SWDobject bundles together the presence and absence/background locations - New methods to train models: Artificial Neural Network (ANN), Boosted Regression Trees (BRT) and Random Forest (RF)
- Enabled spatial cross validation: the function
trainaccepts now folds partition generated with other packages (i.e. ENMeval and blockCV) - Add title argument in
plotfunction forSDMtuneobjects - New randomly generated dataset
virtualSpwith presence, absence and background locations - Number of background locations cannot be tuned anymore using the tuning functions
Deprecated function: getSubsample
