Changelog
Source:NEWS.md
SDMtune 1.3.1
- Minor improvements in documentation (#27)
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
-
SDMtune
migrated to packageterra
to handle spatial data. Objects created with the packageraster
will not be supported in future releases -
SDMtune
has a new progress bar and messages/warnings/errors have a new look -
modelReport()
,prepareSWD
,reduceVariable()
,thinData()
, andvarSel()
gain the argumentverbose
to disable informative messages -
gridSearch()
,optimizeModel()
,randomSearch()
,reduceVar()
, andvarSel()
gain the argumentinteractive
to disable the interactive real-time chart -
doJk()
,gridSearch()
,optimizeModel()
,predict()
,randomSearch()
,thinData()
,train()
,varImp()
, andvarSel()
gain the argumentprogress
to disable the progress bar - The function
thinData()
prints a message with the number of removed locations - The argument
factors
inmodelReport()
is deprecated. Seeterra
documentation 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 This because it improved computation only for very large datasets and used the superseded package snow.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
thinData
accept 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
plotResponse
plots 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
addSamplesToBg
to add presence locations to background location. -
extra_args
in 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
SDMmodelCV
objects - Add the possibility to pass multiple methods to the
train
function - Add possibility to compute the testing AUC or TSS for a held apart testing dataset in the case of a
SDMmodelCV
object - Add the possibility to merge only the presence locations in the
mergeSWD
function
Bug fixes:
-
plotPA
function 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
SWD
object 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
train
accepts now folds partition generated with other packages (i.e. ENMeval and blockCV) - Add title argument in
plot
function forSDMtune
objects - New randomly generated dataset
virtualSp
with presence, absence and background locations - Number of background locations cannot be tuned anymore using the tuning functions
Deprecated function: getSubsample