————————————————————
Species distribution modeling,
calibration and evaluation,
ensemble modeling
————————————————————
install.packages("biomod2", dependencies = TRUE)
library(devtools)
devtools::install_github("biomodhub/biomod2", dependencies = TRUE)
/!\
All changes between versions are detailed in News.
biomod 4.2-6
- Improved OptionsBigBoss and new model
/!\
Please feel free to indicate if you notice some strange new behaviors !
OptionsBigboss
. (This only affects the ANN, CTA and RF models.) You can check all your options with the get_options()
function.biomod2
has a new model: RFd. It’s a Random Forest model with a down-sampling method.bm_PseudoAbsences()
and BIOMOD_FormatingData()
.bm_ModelingOptions()
.
biomod 4.2-5
- Modeling options & Tuning Update
BIOMOD_ModelingOptions
and BIOMOD_Tuning
functions become secondary functions (bm_ModelingOptions
and bm_Tuning
), and modeling options can be directly built through BIOMOD_Modeling
functionModelsTable
and OptionsBigboss
datasets (note that improvement of bigboss modeling options is planned in near future)biomod 4.2
- Terra Update
biomod2
now relies on the new terra
package that aims at replacing raster
and sp
.biomod2
is still compatible with old format such as RasterStack
and SpatialPointsDataFrame
.biomod2
function will sometimes return SpatRaster
from package terra
that you can always convert into RasterStack
using function stack
in raster
.biomod 4.1
is now available
/!\
Package fresh start… meaning some changes in function names and parameters. We apologize for the trouble >{o.o}<
Sorry for the inconvenience, and please feel free to indicate if you notice some strange new behaviors !
BIOMOD_
for main functions, bm_
for secondary functions)ggplot2
biomod2
website has been created, with proper roxygen2
documentation and help vignettes