Changes in version 1.5.0 (2022-09-23)                  

NEW FEATURES

  - Added a new vignette named "other_functions" to document recently
    added functions. You can access it through
    vignette("other_functions", package = "funrar")

INTERNAL CHANGES

  - Fix uses of the Matrix package for their next version
  - Reorganized documentation to please goodpractice

USER-FACING CHANGES

  - Remove warnings regarding relative abundances for the
    distinctiveness_*() functions as they can perfectly work with
    absolute abundances giving the same results.
  - Fix typo in name of sparse matrices vignette.

                 Changes in version 1.4.1 (2020-04-20)                  

BUG FIX

  - fix use of tidytext for upcoming version (#42, thanks @juliasilge !)
  - remove dependency on dplyr to avoid breaking due to next dplyr
    release

                 Changes in version 1.4.0 (2020-03-05)                  

NEW FEATURES

  - Implement distinctiveness_global() to compute occurrence based
    distinctiveness at the global/regional level using only a distance
    matrix

BUG FIX

  - Fix tests that used data.frame() now with explicit stringAsFactors
    values for compatibility with R 4.0.0
  - Add missing tests on bad inputs for some functions

                 Changes in version 1.3.1 (2019-12-09)                  

BUG FIX

  - Test explicitly for matrix type in rarity_dimensions() for
    compatibility with R 4.0.0

                 Changes in version 1.3.0 (2019-05-18)                  

NEW FEATURES

  - Add _tidy() aliases for each _stack() function for easier reading
    (fix #29).
  - distinctiveness_stack() returns NA as distinctiveness values for
    absent species (#30).
  - New definition of functional distinctiveness based on range see
    distinctiveness_range().
  - New definition of functional distinctiveness based on range with
    different formula see distinctiveness_alt().

BUG FIX

  - Warning when distinctiveness equals NaN in distinctiveness_stack()
    (#30).

                 Changes in version 1.2.2 (2018-03-05)                  

  - Fix a bug in the test of distinctiveness_dimensions() that generated
    errors on cran server.

                 Changes in version 1.2.1 (2018-02-19)                  

  - Add Authors' ORCID and all contributors;
  - funrar paper is now included in DESCRIPTION, README.md and has a
    proper CITATION file;
  - Fix typos in documentation;
  - Transformation from tidy data.frame to sparse matrix is now possible
    using stack_to_matrix(x, sparse = TRUE) (#25);
  - Add a warning message when using only continuous traits with
    function comput_dist_matrix(), as it defaults to Gower's distance
    (#27);
  - Specification in help that functional distances need to be scaled
    between 0 and 1 prior to distinctiveness computation (#26).

                 Changes in version 1.2.0 (2017-06-30)                  

  - Split rarity_dimensions() in two more explicit functions:
    uniqueness_dimensions() and distinctiveness_dimensions() split
    corresponding tests;
  - Add internal function to compute multiple functional distance matrix
    using a single trait table (combination_trait_dist());
  - distinctiveness() now fully conserve the dimnames of the provided
    site-species matrix.

                 Changes in version 1.1.1 (2017-06-27)                  

  - Add tests for rarity_dimensions();
  - rarity_dimensions() now comprises both Uniqueness and
    Distinctiveness;
  - Remove packages StatMatch, microbenchmark & reshape2 from suggested
    packages.

                 Changes in version 1.1.0 (2017-05-24)                  

  - Made make_absolute() defunct because it was based on false
    assumptions and would not give back matrices of relative abundances;
  - Improved examples of make_relative(), uniqueness(),
    distinctiveness() to compute across single communities or regional
    pools;
  - Add rarity_dimensions() function to measure the different facets of
    rarity according to the trait;
  - Add center and scale arguments in compute_dist_matrix() to scale
    traits before computing distance, these arguments are sensitive to
    the specific distance metric used;
  - Use markdown with roxygen2 to generates documentation.

                 Changes in version 1.0.3 (2017-05-05)                  

  - Corrected bug so that dense matrices can be transformed to stack
    data frame using  matrix_to_stack() (#19),
  - Updated citation for Violle et al. 2017,
  - Use package goodpractice to enforce better code style,
  - Add is_relative() function to test if matrix contains relative
    abundances, scarcity() and distinctiveness() now warns if it is not
    the case (#21),
  - Conditional use microbenchmark following CRAN advice.

                 Changes in version 1.0.2 (2016-11-24)                  

  - Added functions to convert absolute abundance matrix to relative
    abundance matrix, make_relative() and reverse function
    make_absolute(),
  - Added a NEWS.md file to track changes to the package.