Changes in version 0.6.3.9004                      

  - Fixed a bug where hb_transform() would give an error with missing
    values.

  - Added a new function outliers() to replace existing outlier
    functions, which are now deprecated.

                 Changes in version 0.6.3 (2025-06-07)                  

  - Bumped minimum version of R to >= 4.1.

  - geks() is now faster and uses less memory to makes the GEKS index.

  - Time periods with entirely missing data no longer return an index
    value with geks(), fixing #8.

  - Added a new vignette to better explain decomposing an index.

  - Added martini_index() to compute the family of Martini indexes.

  - Added kimber_method() for outlier detection.

  - Outlier detection functions are now stricter about their inputs.

  - Functions for transmuting weights now get a tol argument to control
    the tolerance in the extended mean.

                 Changes in version 0.6.2 (2024-08-16)                  

  - splice_index() now keeps names.

  - Fixed a bug with transmute_weights() where the weights could be
    negative.

  - Price-index functions have better argument checking.

                 Changes in version 0.6.1 (2024-04-12)                  

  - Updated maintainer email.

  - Added a parameter to generalize geks() by controlling how indexes
    are averaged over the rolling window.

  - Fixed a bug where transmute_weights() and factor_weights() could
    return a result with a different length than w.

  - Added a new function splice_index() for splicing indexes calculated
    over a rolling window (this was previously sketched in an example).

  - transmute_weights() is now faster.

                 Changes in version 0.6.0 (2023-11-15)                  

  - Bumped minimum version of R to at least 4.0.

  - The use of ... in grouped() and balanced() is deprecated, and will
    be removed in a future version. The same behavior can be had by
    using an anonymous function.

  - Added the walsh_geks() function.

  - back_period() and base_period() gain a new argument match_first to
    control whether products in the first period match to themselves or
    return NA.

  - Updated documentation.

  - Added a brief vignette.

                 Changes in version 0.5.0 (2023-08-08)                  

  - back_price() and base_price() have been removed.

  - Functions for transforming weights only keep the attributes of the
    weights (if any), as documented.

  - grouped() no longer mangles names.

                 Changes in version 0.4.3 (2022-05-01)                  

  - back_price() and base_price() are deprecated in favor of the more
    general back_period() and base_period() functions. They will be
    removed in a future version.

  - The algorithm for making GEKS indexes is now much faster with a
    rolling window.

                 Changes in version 0.4.2 (2022-01-26)                  

  - The functions and overall structure of the package should be fairly
    stable from now on.

  - Added nested_transmute() and nested_transmute2() for transmuting the
    weights for nested generalized means. To be consistent with argument
    names, the first two arguments for nested_mean() and
    nested_contributions*() are now r1 and r2.

  - Added the geometric Theil and Rao indexes.

                 Changes in version 0.3.9 (2021-11-26)                  

  - Added back_period() and base_period(), which are more general than
    back_price() and base_price().

  - Added lehr_index().

  - Fixed a rare warning about sqrt() making NaNs in
    generalized_logmean(-1) when some inputs were close but not equal,
    despite no NaNs showing in the result.

  - The lm_index() and *_agmean_index() functions are now function
    factories.

                 Changes in version 0.3.6 (2021-10-02)                  

  - Added the balanced() operator to make it easier to remove NAs with
    price index functions.

  - Added the geks() function for using price-index function (e.g.,
    fisher_index()) to makes a GEKS index.

                 Changes in version 0.3.4 (2021-08-04)                  

  - Added French translations.

  - Made a number of optimizations to make the results of
    generalized_mean(), extended_mean(), lehmer_mean(),
    transmute_weights(), and factor_weights() faster in common cases.

  - Added the grouped() operator to make all functions work with grouped
    data.

                 Changes in version 0.3.1 (2021-07-07)                  

  - Most function names have changed to be less awkward; e.g.,
    mean_generalized() is now generalized_mean(), and
    contributions_geometric() is now geometric_contributions(). This is
    unfortunately not backwards compatible, but needed to be done.

  - Added the nested_mean() function to calculate nested generalized
    means for, e.g., the Fisher index.

  - The interface for nested_contributions() is now much simpler, and
    the function is focused on making contributions for Fisher indexes.
    Added the nested_contributions2() function that implements a
    different algorithm.

  - Added the arithmetic_agmean_index() and geometric_agmean_index()
    functions to calculate the AG mean index.

  - Added some functions for standard outlier-detection methods for
    price relatives.

  - Dropped the scale argument for generalized_mean(), as it really
    wasn't needed and had the potential to make more problems than it
    solved.