Package Updates

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