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
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.pdf
Vignettes:	Introduction to using qcapower

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

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