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qcapower  

Estimate Power and Required Sample Size in QCA
View on CRAN: Click here


Download and install qcapower package within the R console
Install from CRAN:
install.packages("qcapower")

Install from Github:
library("remotes")
install_github("cran/qcapower")

Install by package version:
library("remotes")
install_version("qcapower", "0.1.0")



Attach the package and use:
library("qcapower")
Maintained by
Ingo Rohlfing
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-02
Latest Update: 2020-03-02
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) (ungated version: ).
How to cite:
Ingo Rohlfing (2020). qcapower: Estimate Power and Required Sample Size in QCA. R package version 0.1.0, https://cran.r-project.org/web/packages/qcapower
Previous versions and publish date:
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Other R packages that qcapower depends, imports, suggests or enhances
Functions, R codes and Examples using the qcapower R package
Some associated functions: qcapower . qp_cases . qp_cases_brute . qp_quant_plot . qp_run_plot . qp_sim_power . qp_sina_data . 
Some associated R codes: data.R . qcapower.R .  Full qcapower package functions and examples
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