Package index • misc

All functions
`KL_divergence_hist()`	Function to calculate KL divergence for continuous distributions using histograms
`compute_finite_difference_gradients()`	Compute finite difference gradients
`compute_linear_shap()`	Compute SHAP values for linear models
`conformalize()`	Conformal Prediction for Regression Models
`correlation_aware_shap()`	Correlation-aware SHAP computation using sampling approach
`debug_print()`	Debug print
`direct_sampling()`	Direct sampling
`extract_coefficients()`	Extract coefficients and intercept from various model types
`fit_linear_model()`	Fit linear model based on specified type
`fit_param_dist()`	Fit multiple parametric distributions, compute KL divergence, simulate best fit
`fit_predict_shap()`	Fit a linear model and compute SHAP values with response centering
`get_model_predictions()`	Get predictions from various model types
`get_model_type()`	Get model type string
`get_next_date()`	Get next date for a time series object
`gradient_shap()`	Gradient-Based SHAP for Any Differentiable Function
`integrate()`	Numerical Integration Using Trapezoidal or Simpson's Rule
`integrated_gradients()`	Integrated Gradients for Model Explanations
`is_package_available()`	Check if a package is available
`is_wholenumber()`	Check if a number is a whole number
`local_linear_shap()`	LIME-style local linear approximation using gradients
`monotonic_regression()`	Monotonic Regression using XGBoost, LightGBM, or SCAM
`one_hot_encode()`	One-hot encoding
`parfor()`	Sequential or parallel for loop with robust error handling
`plot_prediction_interval()`	Plot Prediction Interval With Optional Past Observations
`predict(<conformalize>)`	Predict method for conformalize objects
`print_shap_summary()`	Print summary of SHAP results
`residuals(<conformalize>)`	Residuals method for conformalize objects
`rm_zero_cols()`	Removing columns containing only zeros
`rmultivariate()`	Simulate multivariate data
`scale_matrix()`	Scale matrix
`simulate(<conformalize>)`	simulate method for conformalize objects
`sort_df()`	Sort data frame
`split_data()`	Split a dataset
`splitts()`	Partition a time series object
`timeit()`	Timing an expression
`validate_shap_decomposition()`	Validate SHAP decomposition
`vlookup()`	VLOOKUP
`winkler_score()`	Winkler score for probabilistic forecasts

Reference

All functions