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Package Updates

Changes in Version 1.0.1 (2023-12-13)

• Removed Travis CI
• Updated documentation

Changes in Version 1.0.0 (2022-06-17)

• 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 (2020-08-12)

• 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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.