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<?xml version="1.0"?>
<tool_dependency>
    <package name="R" version="3.1.2">
        <repository changeset_revision="1ca39eb16186" name="package_r_3_1_2" owner="iuc" prior_installation_required="True" toolshed="https://testtoolshed.g2.bx.psu.edu" />
    </package>

    <package name="pmcmr" version="4.1">
        <install version="1.0">
            <actions>
                <action type="setup_r_environment">
                    <repository changeset_revision="1ca39eb16186" name="package_r_3_1_2" owner="iuc" toolshed="https://testtoolshed.g2.bx.psu.edu">
                        <package name="R" version="3.1.2" />
                    </repository>
                   
                    <package>http://application.sb-roscoff.fr/download/w4m/cran-archive/package_r_pmcmr_4_1/PMCMR_4.1.tar.gz</package>
                    <package>http://application.sb-roscoff.fr/download/w4m/cran-archive/package_r_pmcmr_4_1/batch_1.1-4.tar.gz</package>
                </action>
            </actions>
        </install>
        <readme>
PMCMR: Calculate Pairwise Multiple Comparisons of Mean Rank Sums

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.

Author:     Thorsten Pohlert thorsten.pohlert at gmx.de

        </readme>
    </package>
</tool_dependency>