NEWS
estmeansd 1.0.1 (2023-12-14)
- Removed Travis CI
- Updated documentation
estmeansd 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
estmeansd 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
estmeansd 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
estmeansd 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
estmeansd 0.1.0 (2019-01-11)
- First version released on CRAN