TestDimorph: Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics

Provides two approaches of comparison; the univariate and the multivariate analysis in two or more populations. Since the main obstacle of performing systematic comparisons in anthropological studies is the absence of raw data, the current package offer a solution for this problem by allowing the use of published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.

Version: 0.3.5
Depends: R (≥ 2.10)
Imports: caret, corrplot, cutpointr, dplyr, ggplot2, multcompView, Rfast, stats, tibble, tidyr, tmvtnorm, truncnorm, utils
Suggests: AnthropMMD, testthat (≥ 2.1.0), vdiffr
Published: 2020-10-29
Author: Bassam A. Abulnoor ORCID iD [aut, cre], MennattAllah H. Attia ORCID iD [aut], Lyle W. Konigsberg ORCID iD [aut]
Maintainer: Bassam A. Abulnoor <bassam.abulnoor at gmail.com>
BugReports: https://github.com/bassam-abulnoor/TestDimorph/issues
License: GPL-3
URL: https://github.com/bassam-abulnoor/TestDimorph
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: TestDimorph results


Reference manual: TestDimorph.pdf
Package source: TestDimorph_0.3.5.tar.gz
Windows binaries: r-devel: TestDimorph_0.3.5.zip, r-release: TestDimorph_0.3.5.zip, r-oldrel: TestDimorph_0.3.5.zip
macOS binaries: r-release: TestDimorph_0.3.5.tgz, r-oldrel: TestDimorph_0.3.5.tgz
Old sources: TestDimorph archive


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