caretSDM 1.1.0
caretSDM 1.1.1
- Inclusion of Non-native Distribution using caretSDM with adaptations
on sdm_area function to allow the use of scenarios that do not
particularly match the modeling area.
caretSDM 1.1.2
- Inclusion of methods to include new algorithms in caretSDM.
caretSDM 1.1.3
- Inclusion of Ensemble of Small Models in caretSDM.
caretSDM 1.1.4
- Inclusion of functions to add different classes together, as well as
plots for niche and background. First attempts to include independent
test data. tSNE is also working properly now. Inclusion of testing to
improve code coverage.
caretSDM 1.1.5
- Plotting ensemble predictions is working. Added blockCV methods for
crossvalidation.
caretSDM 1.2
- Inclusion of MaxEnt and Mahalanobis Distance directly on
caretSDM.
- Pseudoabsences can now be retrieved outside a buffer.
- Inclusion of functions: correlate_sdm, prediction_change_sdm and
tuneGrid_sdm.
caretSDM 1.2.1
- A error on plots assertion was corrected to better describe
assertion problems.
caretSDM 1.2.2
- A CRS correction for add_scenarios function was missing for the
crop_area parameter.
caretSDM 1.2.3
- There was a problem with add_scenarios function when adding a stars
with a crop_by.
caretSDM 1.2.4
- input_sdm now checks if user passed occurrences to join_area.
caretSDM 1.2.5
- buffer_sdm function now has a convex hull argument, allowing a
buffer to be created around it.
- WorldClim_data function now uses httr2 package to gracefully handle
errors.
caretSDM 1.3
- caretSDM now does not allow to run maxent without previously run the
background function.
caretSDM 1.4
- Package assertions is now performed by checkCLI package.
caretSDM 1.5
- Ensembles and projections performance were dramatically tunned to be
more efficient.
caretSDM 1.6
- Inclusion of pseudoabsence selection through a custom function.
caretSDM 1.6.1
- Inclusion of background selection through a custom function.
caretSDM 1.7
- predict_sdm doesn’t perform ensembles anymore.
- Ensembles are included in the ensembles_sdm function.
- All adjusts necessary to properly perform that operation, including
tests, are implemented.
- Vignettes and examples were changed to include ensembles_sdm
function.
- data_clean now accepts a custom function to clean occurrences.
caretSDM 1.8
- New wrapper for multicollinearity reduction with PCA, VIF and custom
functions.
- Pseudoabsences and ensemble now accept custom functions.
- crop_by in sdm_area now performs masking.
caretSDM 1.8.1
- A minor adjustment to predict_sdm was necessary to allow for
multiple scenarios.
caretSDM 1.8.2
caretSDM 1.8.3
- Inclusion of ECDFniche to provide the mahalanobis distance
method.