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qcapower: Estimate Power and Required Sample Size in QCA

Researchers working with Qualitative Comparative Analysis (QCA) can use the package to estimate power of a sufficient term using permutation tests. A term can be anything: A condition, conjunction or disjunction of any combination of these. The package further allows users to plot the estimation results and to estimate the number of cases required to achieve a certain level of power, given a prespecified null and alternative hypothesis. Reference for the article introducing power estimation for QCA is: Rohlfing, Ingo (2018) <doi:10.1017/pan.2017.30> (ungated version: <doi:10.17605/OSF.IO/PC4DF>).

Version:0.1.0
Depends:R (≥ 2.10)
Imports:ggplot2,ggforce,devtools, stats
Suggests:knitr,rmarkdown
Published:2020-03-02
DOI:10.32614/CRAN.package.qcapower
Author:Ingo Rohlfing [aut, cre], Holger Doering [aut], Ayjeren Rozyjumayeva [aut]
Maintainer:Ingo Rohlfing <i.rohlfing at uni-koeln.de>
BugReports:https://github.com/ingorohlfing/qcapower
License:GPL-3
URL:https://github.com/ingorohlfing/qcapower
NeedsCompilation:no
Materials:README
CRAN checks:qcapower results

Documentation:

Reference manual:qcapower.html ,qcapower.pdf
Vignettes:Introduction to using qcapower (source,R code)

Downloads:

Package source: qcapower_0.1.0.tar.gz
Windows binaries: r-devel:qcapower_0.1.0.zip, r-release:qcapower_0.1.0.zip, r-oldrel:qcapower_0.1.0.zip
macOS binaries: r-release (arm64):qcapower_0.1.0.tgz, r-oldrel (arm64):qcapower_0.1.0.tgz, r-release (x86_64):qcapower_0.1.0.tgz, r-oldrel (x86_64):qcapower_0.1.0.tgz

Linking:

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