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PMCMR : Calculate Pairwise Multiple Comparisons of Mean Rank Sums

Package: PMCMR
Type: Package
Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Version: 4.1
Date: 2016-01-06
Author: Thorsten Pohlert
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>
Description: The Kruskal and Wallis one-way analysis of variance by ranks
or van der Waerden's normal score test can be employed,
if the data do not meet the assumptions
for one-way ANOVA. Provided that significant differences
were detected by the omnibus test, one may be interested
in applying post-hoc tests for pairwise multiple comparisons
(such as Nemenyi's test, Dunn's test, Conover's test,
van der Waerden's test). Similarly, one-way ANOVA with repeated
measures that is also referred to as ANOVA with unreplicated
block design can also be conducted via the Friedman-Test
or the Quade-test. The consequent post-hoc pairwise
multiple comparison tests according to Nemenyi, Conover and Quade
are also provided in this package. Finally Durbin's test for
a two-way balanced incomplete block design (BIBD) is also given
in this package.
Depends: R (>= 3.0.0), stats, base
Suggests: multcompView, xtable, graphics
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2016-01-06 08:30:09 UTC; thorpohl
Repository: CRAN
Date/Publication: 2016-01-06 10:15:27

● Data Source: CranContrib
1 images, 16 functions, 0 datasets
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