Package: qcapower 0.2.0
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>).
Authors:
qcapower_0.2.0.tar.gz
qcapower_0.2.0.zip(r-4.7)qcapower_0.2.0.zip(r-4.6)qcapower_0.2.0.zip(r-4.5)
qcapower_0.2.0.tgz(r-4.6-any)qcapower_0.2.0.tgz(r-4.5-any)
qcapower_0.2.0.tar.gz(r-4.7-any)qcapower_0.2.0.tar.gz(r-4.6-any)
qcapower_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
qcapower/json (API)
NEWS
| # Install 'qcapower' in R: |
| install.packages('qcapower', repos = c('https://ingorohlfing.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ingorohlfing/qcapower/issues
- qp_sim_power - Data simulated power estimates
- qp_sina_data - Data simulated power estimates for plotting of 5%-quantiles
Last updated from:8734ea20fe. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 141 | ||
| source / vignettes | OK | 169 | ||
| linux-release-x86_64 | OK | 135 | ||
| macos-release-arm64 | OK | 123 | ||
| macos-oldrel-arm64 | OK | 77 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 81 | ||
| windows-oldrel | OK | 141 | ||
| wasm-release | OK | 110 |
Exports:qcapowerqp_casesqp_cases_bruteqp_quant_plotqp_run_plot
Dependencies:base64encclicpp11farverggforceggplot2gluegtableisobandjsonlitelabelinglifecyclemagrittrMASSpolyclipR6RColorBrewerrlangS7scalessystemfontstidyselecttweenrvctrsviridisLitewithr
