qcapower: Estimate Power and Required Sample Size in QCA

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

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✨
DESCRIPTION |NEWS
card.svg |card.png
qcapower/json (API)

# 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

Datasets:

qp_sim_power - Data simulated power estimates
qp_sina_data - Data simulated power estimates for plotting of 5%-quantiles

On CRAN:

4.65 score 3 stars 9 scripts 277 downloads 5 exports 26 dependencies

Last updated from:8734ea20fe. Checks:9 OK. Indexed: yes.

Target	Result	Time
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:qcapower qp_cases qp_cases_brute qp_quant_plot qp_run_plot

Dependencies:base64enc cli cpp11 farver ggforce ggplot2 glue gtable isoband jsonlite labeling lifecycle magrittr MASS polyclip R6 RColorBrewer rlang S7 scales systemfonts tidyselect tweenr vctrs viridisLite withr

Introduction to using qcapower

Rendered fromIntroduction.Rmdusingknitr::rmarkdown

Help page	Topics
Estimate power for a term in Qualitative Comparative Analysis (QCA). 'qcapower' returns a power estimate with regard to the consistency of a term, given information about the required parameters	qcapower
Calculte the number of cases for a particular case target based on simulated data	qp_cases
Calculate the number of cases for a particular case target with iterative simulations (brute force)	qp_cases_brute
Sina plot of 5 distributions	qp_quant_plot
Plot of power estimate against the number of simulations	qp_run_plot
Data simulated power estimates	qp_sim_power
Data simulated power estimates for plotting of 5%-quantiles	qp_sina_data

Help page

Topics

Estimate power for a term in Qualitative Comparative Analysis (QCA). 'qcapower' returns a power estimate with regard to the consistency of a term, given information about the required parameters

qcapower

Calculte the number of cases for a particular case target based on simulated data

qp_cases

Calculate the number of cases for a particular case target with iterative simulations (brute force)

qp_cases_brute

Sina plot of 5 distributions

qp_quant_plot

Plot of power estimate against the number of simulations

qp_run_plot