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To follow biomod2 evolution of organization and features, the presentation below details the different steps and modules of the package.
Formatting data : combine observations, coordinates and explanatory variables,
and sample pseudo-absences for presence-only data (through bm_PseudoAbsences)
Cross-validation : create calibration / validation datasets (through bm_CrossValidation)
Modeling options (with the help of ModelsTable and OptionsBigboss datasets)
Evaluation : transform predicted probabilities in binary values (through bm_BinaryTransformation),
and compute evaluation metrics (through bm_FindOptimStat)
Variables’ importance : estimate the impact of each explanatory variable on predictions (through bm_VariablesImportance)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.