Changes in version 0.2.0 (2024-06-10)                  

  - The deprecated ggplot2 function aes_string() has been replaced by
    aes(). Variables containing column names as a character vector
    (var_name) are now called via .data[[var_name]]. In addition, 'size'
    has been replaced by 'linewidth' when used in the geom_line()
    function.
  - Variables have been renamed to make them snake_case_like. Visible
    binding for global variables was added.
  - Since providing a numeric vector to theme(legend.position) has been
    deprecated it has been replaced by theme(legend.position = "inside",
    legend.position.inside = c(...)).
  - Examples have been slimmed down and the execution of some of the
    example code is prevented to reduce the execution time of examples.
  - Tests were complemented to reach 100% coverage. On the other hand,
    some redundant tests were removed.
  - Cyclomatic complexity was reduced by the creation of the new
    function check_point_location().
  - The new function get_T2_one() for the one-sample T2 test was added.
    The function get_hotellings() performing the two-sample T2 test was
    renamed to get_T2_two(). Both functions calculate corresponding
    confidence intervals, i.e. the get_T2_two() function was
    complemented accordingly.
  - An additional parameter for the option to remove NA cases was added
    to the functions mztia(), get_T2_one() and get_T2_two(). The
    treatment of NA/NaN cases by the get_profile_portion() function was
    amended. The bootstrap_f2() and the mimcr() functions now check for
    the presence of NA/NaN values in the provided data frames and halt
    execution if any are found with the recommendation to impute the
    missing data. The functions get_f1() and get_f2(), and thus also the
    functions f1() and f2(), return a message if the data frame handed
    in contains any NAs/NaNs.
  - The parameter 'nsf' (number of significant figures) was added to the
    functions with the 'bounds' parameter, i.e. bootstrap_f2(), mimcr(),
    f1(), f2() and get_profile_portion(). The 'nsf' parameter allows to
    control how the test values are rounded before they are compared
    with the limits set by the 'bounds' parameter. For example, by
    setting the 'nsf' value for the comparison with the upper bound
    of 85% to 2, an observed test value of 85.025% is rounded to two
    significant figures before the comparison takes place. Thus, the
    test value is evaluated as not being greater than the limit.
  - The complete documentation was reviewed and harmonised, e.g. by the
    sharing of specific text elements between the various function
    descriptions.

                 Changes in version 0.1.3 (2021-12-08)                  

  - Made test parameters of function gep_by_nera more restrictive in
    order to throw a warning on testing.

                 Changes in version 0.1.2 (2021-12-06)                  

  - Example from unexported function was removed.
  - Examples that were wrapped by \dontrun{} although they are
    executable in < 5 sec are now unwrapped.
  - Errors from examples that deliberately produce errors are caught by
    tryCatch() and are no longer wrapped by \dontrun{}.
  - The package T2EQ that is used in three examples is listed under
    'Suggests'. Furthermore, the examples using a function or data sets
    from this package are now wrapped by if(requireNamespace("T2EQ")){}
    rather than by \dontrun{}.

                        Changes in version 0.1.1                        

  - CRAN submission
  - Exclusively use secure links
  - Correct spelling errors

                      Changes in version 0.1.0.900                      

                        Changes in version 0.1.0                        

  - Add further tests
  - Add further and more illustrative examples
  - Review documentation, correct spelling errors and assess all links
  - Tidy UP the DESCRIPTION
  - Replace for loops with apply family functions
  - Harmonise parameters between functions