Package index • ale

All functions

ALEPlots(): ALE plots with print and plot methods

ALEpDist(): Object with the ALE statistics of a random variable for generating p-values

ModelBoot(): Statistics and ALE data for a bootstrapped model

add_array_na.rm(): Add two arrays or matrices, ignoring NA values by default

ALE(): ALE data and statistics that describe a trained model

ale_stats(): Calculate statistics from ALE y values.

ale_stats_2D(): Calculate statistics from 2D ALE y values.

calc_ale(): Calculate ALE data

cast(): Cast (convert) the class of an object

census: Census Income

col_sums(): Sum up a matrix across columns

extract_2D_diags(): Extract all NWSE diagonals from a matrix

extract_3D_diags(): Extract all FNWBSE diagonals from a 3D array

get.ALE: get method for ALE objects

get.ALEPlots: get method for ALEPlots objects

get.ModelBoot: get method for ModelBoot objects

get(): S7 generic get method for objects in the ale package

idxs_kolmogorov_smirnov(): Sorted categorical indices based on Kolmogorov-Smirnov distances for empirically ordering categorical categories.

intrapolate_1D(): Intrapolate missing values of vector

intrapolate_2D(): Intrapolate missing values of matrix

intrapolate_3D(): Intrapolate missing values of a 3D array

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)

plot.ALEPlots: Plot method for ALEPlots object

plot.ModelBoot: plot method for ModelBoot objects

plot.ALE: plot method for ALE objects

prep_var_for_ale(): Compute preparatory data for ALE calculation

print.ALEPlots: Print method for ALEPlots object

print.ModelBoot: print method for ModelBoot object

print.ALE: print Method for ALE object

resolve_x_cols(): Resolve x_cols and exclude_cols to their standardized format

summary.ALEPlots: summary method for ALEPlots object

var_cars: Multi-variable transformation of the mtcars dataset.

var_type(): Determine the datatype of a vector