Functions for Set-Theoretic Multi-Method Research and Advanced QCA
Function for identifying cases with 0.5 fuzzy-set values.
Function for plotting pooled, between, and within consistencies for a ...
Diagnostic tool for clustered data.
Function that performs the Enhanced Standard Analysis.
Function performing the indirect calibration
Intersects two boolean expressions.
Function for identifying contradictory simplifying assumptions or easy...
Negates a boolean expression.
Function to extract prime implicants table from object of class "qca"
Prime implicants, truth table rows, and necessity plots.
Function producing a 3D scatter plot.
Function calculating the parameters of fit
Function for displaying a radar chart.
Function for identifying the calibration threshold ranges for a condit...
Function for identifying cases in the intersections between an inital ...
Function returning parameters of fit for the robust core of different ...
Function returning robustness parameters of fit.
Function for identifying the raw consistency threshold range within wh...
Function for identifying the frequency threshold range within which th...
Function returning robustness parameters for each single test solution...
Function for plotting an initial solution against the test set.
Functions for Set-Theoretic Multi-Method Research and Advanced QCA
Function for checking how skewed sets are.
Function for performing set-theoretic multi-method research.
Function for exporting a sufficienct solution from minimize in latex, ...
Function for exporting a sufficienct solution from minimize in latex, ...
Performs theory evaluation.
Function producing enhanced XY plots
Functions for performing set-theoretic multi-method research, QCA for clustered data, theory evaluation, Enhanced Standard Analysis, indirect calibration, radar visualisations. Additionally it includes data to replicate the examples in the books by Oana, I.E, C. Q. Schneider, and E. Thomann. Qualitative Comparative Analysis (QCA) using R: A Beginner's Guide. Cambridge University Press and C. Q. Schneider and C. Wagemann "Set Theoretic Methods for the Social Sciences", Cambridge University Press.