Changes in version 1.0.2 (2025-09-03)                  

  - Patch release to fix upcoming feature with new ggplot2 release
    (#120) - thank you to Teun van den Brand
    (https://github.com/teunbrand) for making the pull request for this.

                 Changes in version 1.0.1 (2024-05-10)                  

  - This is a patch release that fixed a couple of small issues that got
    it removed from CRAN

                 Changes in version 1.0.0 (2023-02-07)                  

This is a major release to signify that this version is associated with
a publication (woo!) for this paper in the R Journal. However, this
release only represents minor changes, summarised below:

  - small fix for dev dplyr 113
  - minor updates to GH actions and website.

                 Changes in version 0.1.2 (2021-08-25)                  

Minor Improvements

  - Uses Testthat Third edition, and implements snapshot testing

                 Changes in version 0.1.1 (2021-05-27)                  

Bug fixes

  - Address bug with not creating equal strata
  - Address warnings when using b_diff_summary, which now returns NA if
    there is only one observation, as we can't take the difference of
    one observation, and a difference of 0 in these cases would be
    misleading.

                 Changes in version 0.1.0 (2020-12-16)                  

  - fix warning bug in keys_near related to factors
  - Add feat_diff_summary() functions to help summarise diff(). Useful
    for exploring the time gaps in the index. (#100)
  - sample functions now work with multiple keys (#85, #89) (Thanks to
    @earowang and @deanmarchiori for their help with this.)
  - facet_sample() now has a default of 3 per plot
  - resolve features(data ,.key, n_obs) error (#71)
  - For near_quantile(), the tol argument now defaults to 0.01.
  - provide an S3 generic for tbl_ts objects for keys_near() - #76
  - Add new dataset, pisa containing a short summary of the PISA dataset
    from https://github.com/ropenscilabs/learningtower for three (of 99)
    countries
  - add helper functions index_regular() and index_summary() to help
    identify index variables

                     Changes in version 0.0.4.9000                      

  - remove feasts from dependencies as the functions required in brolgar
    are actually in fabletools.
  - add nearest_lgl and nearest_qt_lgl
  - Gave more verbose names to the wages_ts data.
  - renamed sample_n_obs() to sample_n_keys() and sample_frac_keys()
  - renamed add_k_groups() to stratify_keys()
  - removed many of the l_<summary> functions in favour of the features
    approach.
  - rename l_summarise_fivenum to l_summarise, and have an option to
    pass a list of functions.
  - rename l_n_obs() to n_key_obs()
  - rename l_slope() to key_slope()
  - added monotonic summaries and feat_monotonic
  - rename l_summarise() to keys_near()
  - make monotonic functions return FALSE if length == 1.
  - add monotonic function, which returns TRUE if increasing or
    decreasing, and false otherwise.
  - re export as_tsibble() and n_keys() from `tsibble
  - Data world_heights gains a continent column
  - Implement facet_strata() to create a random group of size n_strata
    to put the data into (#32). Add support for along, and fun.
  - Implement facet_sample() to create facetted plots with a set number
    of keys inside each facet. (#32).
  - add_ functions now return a tsibble() (#49).
  - Fixed bug where stratify_keys() didn't assign an equal number of
    keys per strata (#55)
  - Update wages_ts dataset to now just be wages data, and remove
    previous tibble() version of wages (#39).
  - Add top_n argument to keys_near to provide control over the number
    of observations near a stat that are returned.
  - change world_heights to heights.
  - remove function n_key_obs() in favour of using n_obs() (#62)
  - remove function filter_n_obs() in favour of cleaner workflow with
    add_n_obs() (#63)

                     Changes in version 0.0.1.9000                      

  - Made brolgar integrate with tsibble.

                     Changes in version 0.0.0.9990                      

  - Added the world_heights dataset, which contains average male height
    in centimetres for many countries. #28
  - created near_ family of functions to find values near to a quantile
    or percentile. So far there are near_quantile(), near_middle(), and
    near_between() (#11).
      - near_quantile() Specify some quantile and then find those values
        around it (within some specified tolerance).
      - near_middle() Specify some middle percentile value and find
        values within given percentiles.
      - near_between() Extract percentile values from a given percentile
        to another percentile.
  - Create add_k_groups() (#20) to randomly split the data into groups
    to explore the data.
  - Add sample_n_obs() and sample_frac_obs() (#19) to select a random
    group of ids.
  - Add filter_n_obs() to filter the data by the number of observations
    #15
  - Remove unnecessary use of var, in l_n_obs(), since it only needs
    information on the id. Also gets a nice 5x speedup with simpler code
  - calculate all longnostics (#4)
  - use the word longnostic instead of lognostic (#9)
  - l_slope now returns l_intercept and l_slope instead of intercept and
    slope.
  - l_slope now takes bare variable names
  - Renamed l_d1 to l_diff and added a lag argument. This makes l_diff
    more flexible and the function more clearly describes its purpose.
  - Rename l_length to l_n_obs to more clearly indicate that this counts
    the number of observations.
  - Create longnostic function to create longnostic functions to package
    up reproduced code inside the l_ functions.
  - Added a NEWS.md file to track changes to the package.