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QCA (version 2.6)

Qualitative Comparative Analysis

Description

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multivalue sets ('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 which explains a given phenomenon.

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Version

Install

install.packages('QCA')

Monthly Downloads

2,345

Version

2.6

License

GPL (>= 2)

Maintainer

Adrian Dusa

Last Published

March 24th, 2017

Functions in QCA (2.6)

QCA: A Package for Qualitative Comparative Analysis

_Ragin and Strand

University recognition of a graduate student union

Intersect two expressions

Calculate parameters of fit

Interpret SOP expressions: translate, compute, findRows, sop

Functions to interpret or create a SOP expression

Internal Functions

Display the distribution of points for a single condition

Calibrate raw data to crisp or fuzzy sets

Lipset's indicators for the survival of democracy

Create an XY plot

_Cebotari and Vink

Ethnic protest in Europe

_Legacy datasets

Legacy datasets

Factorize Boolean expressions

Negate Boolean expressions

Find calibration thresholds

QCA minimization using the enhanced Quine-McCluskey algorithm

Export a dataframe to a file or a connection

fuzzyand, fuzzyor

Logical operations

Create a truth table

Implicant matrix functions: allExpressions, createMatrix, getRow

Functions Related to the Implicant Matrix

Recode a variable

Compute the retention probability of a csQCA solution

PI chart functions: makeChart, solveChart

Create and solve a prime implicants chart

run the GUI shiny app for the QCA package

superSubset, findSubsets, findSupersets

Functions to find subsets or supersets