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.

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.

`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.

`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`NaN`

s 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 wasnâ€™t needed and had the potential to make more problems than it solved.