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QCA (version 3.21)

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

3.21

License

GPL (>= 3)

Maintainer

Adrian Dusa

Last Published

September 18th, 2023

Functions in QCA (3.21)

fuzzyand, fuzzyor

Logical operations

Calibrate raw data to crisp or fuzzy sets

Find calibration thresholds

Find untenable configurations

Perform CNA - coincidence analysis using QCA

Generate a custom data structure

Implicant matrix functions: allExpressions, createMatrix, getRow

Functions Related to the Implicant Matrix

PI chart functions: makeChart, findmin, solveChart

Create and solve a prime implicants chart

Number of combinations at a given complexity layer

Minimize a truth table

run the GUI shiny app for the QCA package

Compute the retention probability of a csQCA solution

Create a truth table

superSubset, findSubsets, findSupersets

Functions to find subsets or supersets

Theory evaluation

Parameters of fit

Calculate parameters of fit

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

_Ragin and Strand

University recognition of a graduate student union

Display the distribution of points for a single condition

Create an XY plot

About the QCA package

QCA: A Package for Qualitative Comparative Analysis

_Legacy datasets

Legacy datasets

QCA internal functions

Internal Functions

Time-Difference

_Cebotari and Vink

Ethnic protest in Europe

Class voting in post-World War era