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SetMethods (version 2.3)

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

1,414

Version

2.3

License

GPL-2

Maintainer

Ioana-Elena Oana

Last Published

December 1st, 2017

Functions in SetMethods (2.3)

PENF

Pennings (2003)
LIPR

Lipset (1959), raw data
FSR

Freitag and Schlicht (2009)
BCMV

Berg-Schlosser and Cronqvist (2005)
FakeCS

Fake crisp-set data
EMMF

EMMFnegger (2011)
LIPC

Lipset (1959), crisp-set
SetMethods-package

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

Lipset (1959), fuzzy-set
VISF

Vis (2009), fuzzy set data
FakeMV

Fake data for mvQCA
KAF

Koenig-Archibugi (2004)
SC

Selbst, practicing the truth table algorithm data
SDC

Selbst, disappearing necessary condition data
VISC

Vis (2009), crisp set data
SCHF

Schneider et. al. (2010)
cases.suf.typ.fct

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

Samford (2010)
cases.suf.typ.most

Lists most typical cases with regards to sufficiency.
SCHLF

Schneider et. al. (2010)
QCAfit

Function calculating the parameters of fit
cases.suf.dcn

List cases deviant with regards to consistency for sufficiency.
QCAradar

Function for displaying a radar chart.
cases.suf.dcv

List cases deviant with regards to coverage for sufficiency.
cluster

Diagnostic tool for clustered data
cluster.diagnostics

Diagnostic tool for clustered data.
cases.suf.iir

List individually irrelevant cases for sufficiency.
cases.suf.typ.unique

Lists uniquely typical cases with regards to sufficiency.
cases.suf.typ

List cases typical with regards to sufficiency.
cases.theory.evaluation

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

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

Diagnostic tool for clustered data
mmr

Function for performing set-theoretic multi-method research.
esa

Function that performs the Enhanced Standard Analysis.
print.theoryeval

Print a theoryeval Object
print.casestheoryeval

Print a casestheoryeval Object
print.clusterdiagnostics

Print a clusterdiagnostics Object
theory.data

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

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

Function performing the indirect calibration
xy.plot

Function producing enhanced XY plots
matches.suf.dcviir

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

Function producing enhanced XY plots with Lattice
print.clusterminimize

Print a clusterminimize Object
pimplot

Prime implicants, truth table rows, and necessity plots.
print.matchessuf

Print a matchessuf Object
matches.suf.typdcn

Match typical cases and deviant consistency cases with regards to sufficiency.
matches.suf.typiir

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

Performs theory evaluation.
theory.fit

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