qp_cases

power_target

Null hypothesis (H0). Consistency value separating
consistent from inconsistent terms.

null_hypo

Alternative hypothesis (H1). Expected, actual
consistency value of term.

alt_hypo

<code>qp_cases</code> calculates the number of cases needed for a particular
power level. It is based on the presimulated data using <code>qcapower</code>.
See the vignette for more details.

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>).

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

Description

Usage

Arguments

Value

See Also

Examples