gpindex (development version)

• 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.

gpindex 0.6.2

• splice_index() now keeps names.

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

• Price-index functions have better argument checking.

gpindex 0.6.1

• 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.

gpindex 0.6.0

• 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.

gpindex 0.5.0

• 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.

gpindex 0.4.3

• 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.

gpindex 0.4.2

• 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.

gpindex 0.3.9

• 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.

gpindex 0.3.6

• 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.

gpindex 0.3.4

• 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.

gpindex 0.3.1

• 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.