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

Documentation:

Reference manual:

mcBFtest.pdf

Downloads:

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 (arm64): mcBFtest_0.1.0.tgz, r-oldrel (arm64): mcBFtest_0.1.0.tgz, r-release (x86_64): mcBFtest_0.1.0.tgz, r-oldrel (x86_64): mcBFtest_0.1.0.tgz

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