mcBFtest: Monte Carlo Based Tests for the Behrens Fisher Problem as an Alternative to Welch's t-Approximation

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

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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
OS X binaries: r-release: mcBFtest_0.1.0.tgz, r-oldrel: mcBFtest_0.1.0.tgz

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