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SetMethods (version 2.4)

Functions for Set-Theoretic Multi-Method Research and Advanced QCA

Description

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 book by C. Q. Schneider and C. Wagemann "Set Theoretic Methods for the Social Sciences", Cambridge University Press and in the online appendix.

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Version

Install

install.packages('SetMethods')

Monthly Downloads

1,441

Version

2.4

License

GPL-2

Maintainer

Ioana-Elena Oana

Last Published

November 26th, 2018

Functions in SetMethods (2.4)

List cases deviant with regards to coverage for sufficiency.

Selbst, disappearing necessary condition data

SetMethods-package

Functions for Set-Theoretic Multi-Method Research and Advanced QCA

cluster.diagnostics

Diagnostic tool for clustered data.

List cases deviant with regards to consistency for sufficiency.

Function for performing set-theoretic multi-method research.

Function for identifying cases with 0.5 fuzzy-set values.

matches.suf.typtyp

Match typical cases for each conjunct in a sufficient term..

List individually irrelevant cases for sufficiency.

cluster.minimize

Diagnostic tool for clustered data

Schneider et. al. (2010)

Lipset (1959), raw data

Fake crisp-set data

Schneider et. al. (2010)

Vis (2009), crisp set data

Vis (2009), fuzzy set data

Fake data for mvQCA

cases.theory.evaluation

Names of cases in the intersections between theory and the empirical solution.

Pennings (2003)

Function for identifying contradictory simplifying assumptions or easy counterfactuals.

Function calculating the parameters of fit

Diagnostic tool for clustered data

Function that performs the Enhanced Standard Analysis.

print.matchessuf

Print a matchessuf Object

print.theoryeval

Print a theoryeval Object

Function for displaying a radar chart.

List cases typical with regards to sufficiency.

indirectCalibration

Function performing the indirect calibration

print.thintersect

Print a theory intersections object

cases.suf.typ.fct

List cases typical with regards to sufficiency for each focal conjunct.

Prime implicants, truth table rows, and necessity plots.

cases.suf.typ.most

Lists most typical cases with regards to sufficiency.

theory.intersections

Boolean expressions of the various intersections between theory and empirics.

Membership of cases in the intersections between theory and the empirical solution.

Function for checking how skewed sets are.

print.casestheoryeval

Print a casestheoryeval Object

Function producing a 3D scatter plot.

matches.suf.typdcn

Match typical cases and deviant consistency cases with regards to sufficiency.

cases.suf.typ.unique

Lists uniquely typical cases with regards to sufficiency.

matches.suf.typiir

Match typical cases and individually irrelevant cases for each conjunct in a sufficient term.

print.clusterminimize

Print a clusterminimize Object

theory.evaluation

Performs theory evaluation.

print.clusterdiagnostics

Print a clusterdiagnostics Object

Parameters of fit for the intersections between theory and the empirical solution.

Intersects two boolean expressions.

Function producing enhanced XY plots

Negates a boolean expression.

matches.suf.dcviir

Match deviant coverage cases and individually irrelevant cases with regards to sufficiency.

Function to extract prime implicants table from object of class "qca"

Function producing enhanced XY plots with Lattice

Lipset (1959), fuzzy-set

Lipset (1959), crisp-set

EMMFnegger (2011)

Koenig-Archibugi (2004)

Berg-Schlosser and Cronqvist (2005)

Freitag and Schlicht (2009)

Selbst, practicing the truth table algorithm data