Monte Carol based tests for the Behrens Fisher Problem enhance the statistical power and performs better than Welch's t-approximation, see Ullah et al. (2019).
| Version: | 0.1.0 |
| Imports: | stats, MASS |
| Published: | 2019-03-15 |
| Author: | You-Gan Wang, Na Wang |
| Maintainer: | You-Gan Wang <you-gan.wang at qut.edu.au> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| CRAN checks: | mcBFtest results |
| Reference manual: | mcBFtest.pdf |
| Package source: | mcBFtest_0.1.0.tar.gz |
| Windows binaries: | r-devel: mcBFtest_0.1.0.zip, r-release: mcBFtest_0.1.0.zip, r-oldrel: mcBFtest_0.1.0.zip |
| macOS binaries: | r-release: mcBFtest_0.1.0.tgz, r-oldrel: mcBFtest_0.1.0.tgz |
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