Changes in version 0.2.3 (2019-11-17)                  

Bug fixes

  - Fix bug in prune().

  - Now hellinger() returns the Hellinger distance, not the square of it
    (Issue #1, thanks to benjones13).

Features

  - Use model.frame() to improve the way formulas are processed in
    picor().

  - Now mfv() is powered by a function tableNA() and returns a factor
    with the same levels as x, when x is itself a factor.

  - In mfv() the argument na.rm is soft-deprecated (so still accepted
    for now, with a message thrown); the default argument is now called
    na_rm.

  - Add various statistical functions: cv() (coefficient of variation),
    midhinge(), midrange(), trimean().

  - Add histo() to compute a histogram and find_breaks() to give
    breakpoints just like MASS::truehist() does.

                 Changes in version 0.2.0 (2018-07-31)                  

Features

  - Add function picor() for univariate piecewise-constant regression.

  - Add function bandwidth().

  - Add function predict.kmeans() (with dependency to package clue).

  - Add ... argument in mfv() and mfv1() (useful for the subsequent call
    of these functions within package 'modeest').

Performance

  - Function if_else() from package 'dplyr' is no longer used since it
    currently inconsistently transforms a matrix into a vector; the base
    ifelse() is used instead.

                 Changes in version 0.1.5 (2017-11-05)                  

  - mfv() was not working with factors.

                 Changes in version 0.1.4 (2017-01-29)                  

  - Update authors list.

  - Add functions mfv() and mfv1(), which compute the mode (most
    frequent value) found in a vector of discrete values.

  - Add small updates before CRAN submission.