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.
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.
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.
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.
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.
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.