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| hermiter-package | Efficient Sequential and Batch Estimation of Probability Density Functions, Cumulative Distribution Functions and Quantiles |
| combine_hermite | Combines a list of Hermite estimators |
| combine_pair | Combines two Hermite estimators |
| cum_prob | Estimates the cumulative probability for a vector of x values |
| cum_prob_quantile_helper | Estimates the cumulative probability for quantile estimation |
| dens | Estimates the probability density for a vector of x values |
| get_coefficients | Returns Hermite series expansion coefficients |
| hermiter | Efficient Sequential and Batch Estimation of Probability Density Functions, Cumulative Distribution Functions and Quantiles |
| hermite_estimator | A class to sequentially estimate pdfs, cdfs and quantile functions |
| hermite_function | Outputs orthonormal Hermite functions |
| hermite_integral_val | Outputs a definite integral of the orthonormal Hermite functions |
| hermite_integral_val_quantile_adap | Outputs a definite integral of the orthonormal Hermite functions |
| hermite_normalization | Outputs Hermite normalization factors |
| quant | Estimates the quantiles at a vector of probability values |
| quantile_helper | Estimates the quantile at a single probability value |
| standardizeInputs | Standardizes the observation x and updates the online moment inputs |
| standardizeInputsEW | Standardizes the observation x and updates the online moment inputs |
| standardize_value | Standardize a vector of observations x |
| update_batch | Updates the Hermite series based estimator with a batch of data |
| update_sequential | Updates the Hermite series based estimator sequentially |