Description
Estimate Power and Required Sample Size in QCA.
Description
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>).
README.md
Estimating power and required sample size in QCA
The qcapower package for R allows researchers working with Qualitative Comparative Analysis (QCA) to
- estimate power using permutation tests and create diagnostic plots;
- estimate the required sample size for a target power level.
Please see the vignette for more information on the package. The current development version can be installed from Github.
devtools::install_github("ingorohlfing/qcapower")
library(qcapower)