NEWS.md
In stmcg/estmeansd: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis

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

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

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

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

stmcg/estmeansd documentation built on Jan. 28, 2024, 4:04 a.m.

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