The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The classical two-sample t-test works well for the normally distributed data or data with large sample size. The tcfu() and tt() tests implemented in this package provide better type-I-error control with more accurate power when testing the equality of two-sample means for skewed populations having unequal variances. These tests are especially useful when the sample sizes are moderate. The tcfu() uses the Cornish-Fisher expansion to achieve a better approximation to the true percentiles. The tt() provides transformations of the Welch's t-statistic so that the sampling distribution become more symmetric. For more technical details, please refer to Zhang (2019) <http://hdl.handle.net/2097/40235>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats |
| Published: | 2020-07-23 |
| DOI: | 10.32614/CRAN.package.tcftt |
| Author: | Huaiyu Zhang, Haiyan Wang |
| Maintainer: | Huaiyu Zhang <huaiyuzhang1988 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | tcftt results |
| Reference manual: | tcftt.pdf |
| Package source: | tcftt_0.1.0.tar.gz |
| Windows binaries: | r-devel: tcftt_0.1.0.zip, r-release: tcftt_0.1.0.zip, r-oldrel: tcftt_0.1.0.zip |
| macOS binaries: | r-release (arm64): tcftt_0.1.0.tgz, r-oldrel (arm64): tcftt_0.1.0.tgz, r-release (x86_64): tcftt_0.1.0.tgz, r-oldrel (x86_64): tcftt_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=tcftt to link to this page.
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.
Health stats visible at Monitor.