Changes in version 2.3.1 (2024-03-06)                  

Minor improvements and bug fixes

  - Updated parallelized C++ methods to be more thread-safe and included
    improved bound checking.
  - Updated citation for hermiter article.

                 Changes in version 2.3.0 (2023-05-08)                  

Additions and improvements

  - Enhanced the update_sequential method to incorporate a single or
    multiple new observations.
  - Added density generic function which outputs an object with
    associated print and plot generics.
  - Added quantile generic function for convenience.
  - Added hcdf function which outputs an object with associated print,
    plot and summary generics.
  - Added median and IQR convenience functions.
  - Added a wrapper around the stats::cor function with two new methods,
    namely "hermite.spearman" and "hermite.kendall".

Minor improvements and bug fixes

  - Additional test cases have been added.
  - Updated the vignette.
  - Fixed the SystemRequirements: C++11 note.

                 Changes in version 2.2.0 (2022-11-15)                  

Breaking changes

  - The interface of hermiter has been simplified. The update_batch
    method has been removed in favor of providing the ability to
    initialize the hermite_estimator with an initial batch of
    observations. Several internal methods are no longer exported in the
    interests of simplicity.
  - The default values of N have been optimized for different settings.
    For univariate, non-exponentially weighted estimators, the default
    is now N = 50. For univariate, exponentially weighted estimators,
    the default is now N = 20. For bivariate, non-exponentially weighted
    estimators, the default is now N = 30. Finally, For bivariate,
    exponentially weighted estimators, the default is now N = 20.

Major enhancements

  - Parallel implementation of batch updating using RcppParallel
    provides significant performance improvements on multicore systems.
    Note that this can be disabled by using options(hermiter.parallel =
    FALSE).

Minor improvements and bug fixes

  - Updated citation information.
  - Additional test cases have been added.
  - Bug fixes for series acceleration algorithm.

                 Changes in version 2.1.0 (2021-11-16)                  

New features

  - A method has been added for estimating the Kendall rank correlation
    coefficient in the bivariate setting.
  - The univariate quantile estimation method has been significantly
    enhanced in accuracy using series acceleration techniques. Series
    acceleration is enabled by default.
  - The univariate pdf and cdf methods have been significantly enhanced
    in accuracy using series acceleration techniques. Series
    acceleration is enabled by default.
  - The new default method for the univariate quantile estimation
    method, 'interpolate' is much faster than the alternate method,
    'bisection' with nearly the same accuracy.
  - Added print and summary methods for both the univariate and
    bivariate hermite_estimator objects.
  - Convenience function added to calculate sums of Hermite functions.

Documentation improvements

  - The vignette hermiter, namely vignette("hermiter") has been extended
    to included examples pertaining to estimation of the Kendall Tau
    nonparametric correlation coefficient in the bivariate setting.

                 Changes in version 2.0.3 (2021-02-17)                  

Minor improvements and bug fixes

  - Minor update to test cases.

                 Changes in version 2.0.2 (2021-01-11)                  

Breaking changes

  - get_coefficients has been removed as it is redundant.
  - combine_hermite has been renamed to merge_hermite for clarity.
  - combine_pair has been renamed to merge_pair for clarity.
  - hermite_integral_val_quantile_adap has been renamed to
    hermite_integral_val_upper for clarity.

New features

  - Bivariate Hermite estimators have been added with methods for
    estimating bivariate probability density functions and cumulative
    distribution functions along with Spearman's rank correlation
    coefficients.
  - The bivariate estimators include methods to batch update or
    sequentially update.
  - Methods are also provided to consistently merge bivariate
    hermite_estimators.
  - Convenience methods have been added for calculating normalized
    Hermite functions, along with upper, lower and full domain integrals
    of the normalized Hermite functions.

Documentation improvements

  - The vignette hermiter, namely vignette("hermiter") has been extended
    to included examples pertaining to the bivariate Hermite series
    based estimators.

Minor improvements and bug fixes

  - The method for merging univariate Hermite series based estimators
    has been improved, yielding greater accuracy when the
    hermite_estimators are standardized.
  - The method for estimating quantiles with the univariate Hermite
    series based estimator has been improved and is now consistent with
    the estimator in the literature.
  - Vectorized the univariate quantile estimation method.
  - Added further error trapping and other minor enhancements (also for
    C++ routines).

                 Changes in version 1.0.0 (2020-09-10)                  

INITIAL RELEASE