Package index
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add_array_na.rm() - Add two arrays or matrices, ignoring NA values by default
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ale() - Create and return ALE data, statistics, and plots
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ale_stats() - Calculate statistics from ALE y values.
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ale_stats_2D() - Calculate statistics from 2D ALE y values.
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calc_ale() - Calculate ALE data
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cast() - Cast (convert) the class of an object
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census - Census Income
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col_sums() - Sum up a matrix across columns
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create_p_dist() - Create an object of the ALE statistics of a random variable that can be used to generate p-values
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extract_2D_diags() - Extract all NWSE diagonals from a matrix
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extract_3D_diags() - Extract all FNWBSE diagonals from a 3D array
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idxs_kolmogorov_smirnov() - Sorted categorical indices based on Kolmogorov-Smirnov distances for empirically ordering categorical categories.
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intrapolate_1D() - Intrapolate missing values of vector
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intrapolate_2D() - Intrapolate missing values of matrix
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intrapolate_3D() - Intrapolate missing values of a 3D array
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model_bootstrap() - Execute full model bootstrapping with ALE calculation on each bootstrap run
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params_data() - Improvements:
Validation: ensure that the object is atomic (not just a vector)
For factors, get all classes and check if any class_x is a factor or ordered
Add arguments to return a unique mode with options to sort: occurrence order, lexicographical Reduce a dataframe to a sample (retains the structure of its columns)
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plot(<ale>) - plot method for
aleobjects
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plot(<ale_boot>) - plot method for
ale_bootobjects
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plot(<ale_plots>) - Plot method for ale_plots object
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prep_var_for_ale() - Compute preparatory data for ALE calculation
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print(<ale>) - Print Method for ale object
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print(<ale_plots>) - Print method for ale_plots object
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var_cars - Multi-variable transformation of the mtcars dataset.
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var_type() - Determine the datatype of a vector