PointedSDMs 1.3.2
Changes and fixes
since previous version:
- Added the argument speciesIndependent to
intModel
. This argument is logical and indicates if species
effects should be made independently for species across datasets or not.
Defaults to FALSE
.
- Added the argument speciesEffects to
intModel
.
This argument takes a list with two named items:
randomIntercepts and Environmental, indicating if
species should have their own environmental and (random )intercept
effects.
- Added the option shared for speciesSpatial in
intModel
. This creates one random effect shared for all the
species considered in the model.
- Added shareModel to
$addBias
: allows the user
to share bias fields across different datasets.
- Changed the setup of the covariates: now completed in the dataset up
stage rather than the modelling stage. Covariate data is now also added
to the prediction data directly.
- Updates to the Solitary_tinamou vignette to add new
pc priors to the different models.
- Removed Raster support for the spatial covariates