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Rcpp::stop (Calls to Rf_error #11).================================================================================
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var_importance() now generates a bar plot even when the model list
contains a single model, instead of throwing an error.
get_formulas() now returns the correct count of generated formulas when
mode = "intensive".
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New Functions:
resp2var(), jackknife(), and plot_jk().
resp2var(): Transforms species probability data into a two-dimensional environmental space for visualization.jackknife(): Evaluates the influence of each variable on the overall model using four distinct metrics: ROC-AUC, TSS, AICc, and Deviance. This function facilitates jackknife resampling to assess variable importance.plot_jk(): A function to plot the results of the jackknife resampling.Bug Fixes:
calibration_glm() related to runtime calculation errors.================================================================================
New Classes:
enmpa_calibration and enmpa_fitted_models.
calibration_glm and fit_selected.summary() and print(), which provide summaries and print representations of the objects, respectively.Updates to predict_glm:
extrapolation_type to indicate the type of extrapolation:
"E": Free extrapolation"NE": No extrapolation"EC": Extrapolation with clampingvar_to_clamp was replaced by restricted_vars.clamping was removed.Updates to model_validation:
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