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QCA (version 3.6)

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 algorithm that results in a minimal causal combination that explains a given phenomenon.

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Version

Install

install.packages('QCA')

Monthly Downloads

2,408

Version

3.6

License

GPL (>= 2)

Maintainer

Adrian Dusa

Last Published

November 17th, 2019

Functions in QCA (3.6)

_Ragin and Strand

University recognition of a graduate student union

Theory evaluation

Export a dataframe to a file or a connection

PI chart functions: makeChart, findmin, solveChart

Create and solve a prime implicants chart

Minimize a truth table

Find calibration thresholds

Find untenable configurations

Implicant matrix functions: allExpressions, createMatrix, getRow

Functions Related to the Implicant Matrix

fuzzyand, fuzzyor

Logical operations

Calibrate raw data to crisp or fuzzy sets

Perform CNA - coincidence analysis using QCA

run the GUI shiny app for the QCA package

superSubset, findSubsets, findSupersets

Functions to find subsets or supersets

Create a truth table

Compute the retention probability of a csQCA solution

Parameters of fit

Calculate parameters of fit

Class voting in post-World War era

Internal Functions

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

_Legacy datasets

Legacy datasets

_Cebotari and Vink

Ethnic protest in Europe

Ethnic protest in Europe

QCA: A Package for Qualitative Comparative Analysis

Create an XY plot

Display the distribution of points for a single condition