Changes in version 0.3.1.9999                      

  - Added option to specify a unique ID variable for every repetition in
    repeat_and_stack() and bundle_sim().
  - Refactored bundle_sim() so that it uses repeat_and_stack()
    internally.
  - Refined evaluate_by_row():
      - Refactored so that it uses only variables that match argument
        names of the function to be evaluated.
      - Added an option nest_results to return a nested column of
        results (for more compact storage).
  - extrapolate_coverage() and extrapolate_rejection() gain an
    exclude_above argument to exclude results based on more than a
    certain number of bootstraps from being included in the
    extrapolation calculations.

                 Changes in version 0.3.1 (2025-01-10)                  

  - Added support for bias-corrected and bias-corrected-and-accelerated
    (BCa) bootstrap confidence intervals.
  - Corrected an error in the documentation of bundle_sim().

                 Changes in version 0.3.0 (2024-09-04)                  

  - Added functions for calculating bootstrap p-values and confidence
    intervals and for estimating rejection rates, coverage rates, and
    interval widths by extrapolating across bootstrap subsamples.
  - Added repeat_and_stack() function, which is similar to the base R
    replicate() and to the now deprecated purrr::rerun(), with the
    option to stack the output into a single data.frame.
  - Added "stddev" as a performance criterion in calc_absolute().
  - Added winsorize options in calc_absolute(), calc_relative(),
    calc_relative_var(), and calc_coverage().

                 Changes in version 0.2.1 (2024-02-29)                  

  - Fixed issues in unit tests on Mac OS, M1Mac, and NoLD.

                 Changes in version 0.2.0 (2024-02-23)                  

  - Added new, experimental function bundle_sim() to compose a set of
    functions into a simulation driver.
  - Added an argument to evaluate_by_row() to control the name of the
    variable where simulation results are stored.
  - Revised the calc_*() functions so that they can take vectors or
    variable names from a specified dataset.
  - calc_rejection() can now compute rejection rates for multiple alpha
    levels.
  - Renamed the K variable computed in the calc_*() functions to avoid
    over-writing variables when using multiple performance calculations
    inside of dplyr::summarize().
  - Updated syntax in vignettes and examples to use current tidyverse
    conventions.

                 Changes in version 0.1.2 (2022-05-03)                  

  - Removed import of a defunct function from the furrr package.

                 Changes in version 0.1.1 (2021-02-14)                  

  - Fixed formula for jacknife MCSE

                 Changes in version 0.1.0 (2020-03-31)                  

  - First version