Package: qcapower 0.1.0

Ingo Rohlfing

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:Ingo Rohlfing [aut, cre], Holger Doering [aut], Ayjeren Rozyjumayeva [aut]

qcapower_0.1.0.tar.gz
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qcapower.pdf |qcapower.html
qcapower/json (API)

# Install 'qcapower' in R:
install.packages('qcapower', repos = c('https://ingorohlfing.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ingorohlfing/qcapower/issues

Datasets:

On CRAN:

4.18 score 3 stars 7 scripts 135 downloads 5 exports 114 dependencies

Last updated 5 years agofrom:16ba8b16ef. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winNOTENov 17 2024
R-4.5-linuxNOTENov 17 2024
R-4.4-winNOTENov 17 2024
R-4.4-macNOTENov 17 2024
R-4.3-winNOTENov 17 2024
R-4.3-macNOTENov 17 2024

Exports:qcapowerqp_casesqp_cases_bruteqp_quant_plotqp_run_plot

Dependencies:askpassbase64encbrewbriobslibcachemcallrclicliprcolorspacecommonmarkcpp11crayoncredentialscurldescdevtoolsdiffobjdigestdownlitellipsisevaluatefansifarverfastmapfontawesomefsgertggforceggplot2ghgitcredsgluegtablehighrhtmltoolshtmlwidgetshttpuvhttr2iniisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmeopensslpillarpkgbuildpkgconfigpkgdownpkgloadpolyclippraiseprettyunitsprocessxprofvispromisespspurrrR6raggrappdirsrcmdcheckRColorBrewerRcppRcppEigenremotesrlangrmarkdownroxygen2rprojrootrstudioapirversionssassscalessessioninfoshinysourcetoolsstringistringrsyssystemfontstestthattextshapingtibbletidyselecttinytextweenrurlcheckerusethisutf8vctrsviridisLitewaldowhiskerwithrxfunxml2xopenxtableyamlzip

Introduction to using qcapower

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2020-02-13
Started: 2020-01-23