Package index
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dataXY_df - Terra satellite data (X,Y) for running the xgboost model .
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label.feature() - Modify labels for features under plotting
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labels_within_package - labels_within_package: Some labels package auther defined to make his plot, mainly serve the paper publication.
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new_labels - new_labels: a place holder default to NULL.
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plot(<label>) - Internal-function to revise axis label for each feature
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scatter.plot.diagonal() - Make customized scatter plot with diagonal line and R2 printed.
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scatter.plot.simple() - Simple scatter plot, adding marginal histogram by default.
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shap.importance() - Variable importance as measured by mean absolute SHAP value.
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shap.plot.dependence() - SHAP dependence and interaction plots
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shap.plot.force_plot() - Create SHAP force plot (stacked bar chart)
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shap.plot.force_plot_bygroup() - Create faceted SHAP force plots by cluster
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shap.plot.summary() - SHAP summary plot using long-format SHAP values
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shap.plot.summary.wrap1() - A wrapped function to make summary plot from model object and predictors
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shap.plot.summary.wrap2() - A wrapped function to make summary plot from given SHAP values matrix
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shap.prep.interaction() - Prepare the interaction SHAP values from predict.xgb.Booster
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shap.prep() - Prepare SHAP values into long format for plotting
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shap.prep.stack.data() - Prepare data for SHAP force plot (stacked bar chart)
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shap.values() - Get SHAP scores from a trained XGBoost or LightGBM model
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shap_int_iris - The interaction effect SHAP values example using iris dataset.
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shap_long_iris - The long-format SHAP values example using iris dataset.
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shap_score - SHAP values example from dataXY_df .
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shap_values_iris - SHAP values example using iris dataset.