Changes in version 1.0.1 (2023-12-14)                  

  - Removed Travis CI
  - Updated documentation

                 Changes in version 1.0.0 (2022-06-18)                  

  - Added the mln.mean.sd() function, which implements the Method for
    Unknown Non-Normal Distributions (MLN) approach of Cai et al. (2021)
  - Added parametric bootstrap SE estimators for the QE, BC, and MLN
    approaches. See the get_SE() generic function.
  - Expanded error checking

                 Changes in version 0.2.1 (2020-08-13)                  

  - Fixed a minor error in bc.mean.sd(). The function previously failed
    to calculate the sample mean when the following set of conditions
    held: preserve.tail was set to FALSE, avoid.mc was set to TRUE, and
    the shape parameter was of magnitude less than 0.01.
  - Updated references

                 Changes in version 0.2.0 (2019-03-26)                  

  - Begun using Git as a version-control system and hosting repository
    on GitHub (https://github.com/stmcg/estmeansd) for the development
    version of the package
  - Added plot.qe.fit(), an S3 plot method for objects returned by
    qe.fit(). Consequently, added ‘graphics’ and ‘grDevices’ to Imports
  - Added summary.qe.mean.sd(), an S3 summary method for objects
    returned by qe.mean.sd()
  - Removed prior on the power parameter lambda in bc.mean.sd()
  - Added bounds on the sample size in bc.mean.sd() and qe.fit()
  - Added URL and BugReport webpage to the DESCRIPTION file
  - Added README.md file
  - Added NEWS.md file to track changes
  - Minor updates to documentation

                 Changes in version 0.1.1 (2019-02-04)                  

  - No longer imports the ‘metamedian’ package. Consequently, the
    internal function get.scenario() was written
  - Renamed two_sample_default argument to two.sample.default

                 Changes in version 0.1.0 (2019-01-11)                  

  - First version released on CRAN