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QCA (version 3.19)

Qualitative Comparative Analysis

Description

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.

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Version

Install

install.packages('QCA')

Monthly Downloads

2,408

Version

3.19

License

GPL (>= 3)

Maintainer

Adrian Dusa

Last Published

May 16th, 2023

Functions in QCA (3.19)

minimize

Minimize a truth table
generate

Generate a custom data structure
findTh

Find calibration thresholds
PI chart functions: makeChart, findmin, solveChart

Create and solve a prime implicants chart
causalChain

Perform CNA - coincidence analysis using QCA
fuzzyand, fuzzyor

Logical operations
Implicant matrix functions: allExpressions, createMatrix, getRow

Functions Related to the Implicant Matrix
complexity

Number of combinations at a given complexity layer
calibrate

Calibrate raw data to crisp or fuzzy sets
findRows

Find untenable configurations
runGUI

run the GUI shiny app for the QCA package
superSubset, findSubsets, findSupersets

Functions to find subsets or supersets
Parameters of fit

Calculate parameters of fit
retention

Compute the retention probability of a csQCA solution
truthTable

Create a truth table
modelFit

Theory evaluation
_Cebotari and Vink

Ethnic protest in Europe
QCA internal functions

Internal Functions
_Nieuwbeerta

Class voting in post-World War era
_Ragin and Strand

University recognition of a graduate student union
XYplot

Create an XY plot
_Hino

Time-Difference
_Legacy datasets

Legacy datasets
Xplot

Display the distribution of points for a single condition
_Lipset

Lipset's indicators for the survival of democracy during the inter-war period.
About the QCA package

QCA: A Package for Qualitative Comparative Analysis