qp_sim_power

<p>A dataset containing power simulations for different number of cases and
different values for null- and alternative hypothesis</p>

datasets

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>).

Ingo Rohlfing

qcapower

Estimate Power and Required Sample Size in QCA

Holger Doering

Ayjeren Rozyjumayeva

qp_sim_power function

<p>A dataframe with simulation parameters and calculated power</p>

qp_sim_power: Data simulated power estimates

Description

Usage

Arguments

Format

Details