Changes in version 0.3.3 (2026-02-22)                  

  - This is a minor release that fixes issues with changes to dplyr
    syntax and how dataframes are processed in specific scenarios.

                 Changes in version 0.3.2 (2022-02-10)                  

  - There is now a function recode_as_value for general recoding. See
    #41.

  - Fixed all_of warnings in dplyr select and across verbs.

  - Tests now use edition 3 of testthat. See
    https://github.com/r-lib/testthat/issues/1471 and
    https://github.com/Nelson-Gon/manymodelr/pull/22

  - Vignettes no longer include URLs to avoid future issues with broken
    links on CRAN.

  - Exclusion or inclusion in na_summaryvia regular expressions is now
    possible via regex_kind and providing a pattern_type and pattern.

  - exclusion is now done entirely in base R instead of using
    dplyr::select.

  - get_na_means and percent_missing now support POSIXct.

  - na_counts and percent_na are new vector focused functions to allow
    getting na_counts and percent missingness for objects of classes
    like POSIXct.

  - include a new argument to reset rownames in na_summary. Fixes
    #33.

                 Changes in version 0.3.1 (2021-08-17)                  

  - Fixed a bug that made exclude_cols result in non-exclusion in
    grouped na.summary outputs.

  - na_summary now includes a round_to parameter to control the number
    of digits to round to. Defaults to options("digits") in the user's
    settings.

  - drop_na_at no longer uses a tibble to avoid warnings with tibble
    row.names.

  - Tests in dict_recode were extended to ensure that we get what is
    expected particularly with respect to the use_func argument.

  - dict_recode now supports the use of different NA recoding functions.
    These can be provided via the argument use_func.

  - dict_recode is a new function to allow recoding with a
    pattern-values pair.

  - drop_na_if now supports keep certain columns when grouping. It also
    now supports dropping only at certain columns.

  - drop_na_if now supports dropping groups that meet a set missing data
    threshold.

  - recode_as_na_str updated to convert factors to character.

                 Changes in version 0.3.0 (2021-02-07)                  

  - drop_row_if arguments were changed. See docs for the new arguments.
    This was done to allow new functionality that enables dropping rows
    based on counts.

  - Sorting strings in na_summary contained a minor bug that has now
    been fixed.

  - recode_as_na_str is a new function to recode_as_na based on string
    matching.

  - recode_as_na_if is a new function that allows deliberate addition of
    NAs to a column if it meets a pre-defined condition. This is
    essentially the reverse of drop_na_if.

  - drop_row_if is a new function similar to drop_na_if but for rows
    instead of columns.

  - percent_missing can now work independently for factors, characters,
    or numeric data. It previously was limited to data.frame objects.

  - Fixed issues with drop_na_at that resulted in failing data
    rebinding.

  - get_na_counts now includes an optional exclude_cols argument to
    exclude columns from the analysis.

  - na_summary has been fixed to allow exclusion of columns from the
    analysis.

  - all_na is a new low level function to perform missingness boolean
    checks for columns(vectors).

  - Added a new function column_based_recoode that aims to allow NA
    recoding based on other columns.

                 Changes in version 0.2.1 (2020-06-27)                  

  - Patch Fix to skip tests on old R releases.

  - Only R versions above 3.6.3 are supported.

                 Changes in version 0.2.0 (2020-06-11)                  

Additions

1.  na_summary which provides a very quick overview of missingness. It
    also supports grouped summaries.

2.  drop_na_if allows easy dropping of columns where all values are
    missing.

3.  custom_na_recode allows replacing missing values with common values
    such as mean, min, max, sd.

Major changes

2.  In percent_missing, the argument grouped was dropped in favour of
    simply providing a grouping_cols vector.

3.  In recode_as_na , subset_df was dropped. It now simply accepts an
    optional subset_cols argument. The argument tidy was also
    dropped.One can simply provide an optional pattern_type and pattern.

4.  Similar changes were made for recode_na_as as above.

5.  The argument x was changed to df in drop_na_at.

                 Changes in version 0.1.0 (2020-02-29)                  

Available functions

1.  get_na_counts

2.  percent_missing

3.  recode_as_na

4.  sort_by_missingness

5.  recode_na_as

6.  drop_na_if

7.  recode_na_if

8.  drop_na_at

9.  recode_as_na_for

Key changes

10. Now supports tidy selection and exploration at specific columns

11. percent_missing supports grouping and exclusion of certain columns.
    The use of decimals was dropped.

12. drop_na_if allows exclusion of columns.