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QCAGUI (version 2.2)

Modern Functions for 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 which explains a given phenomenon.

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Version

Install

install.packages('QCAGUI')

Monthly Downloads

43

Version

2.2

License

GPL (>= 2)

Maintainer

Adrian Dusa

Last Published

May 5th, 2016

Functions in QCAGUI (2.2)

_Legacy datasets

Legacy datasets

_Cebotari and Vink

Ethnic protest in Europe

Recode a variable

Calibrate raw data to crisp or fuzzy sets

Compute the retention probability of a csQCA solution

superSubset, findSubsets, findSupersets

Functions to find subsets or supersets

Functions to interpret a QCA expression

Factorize Boolean expressions

QCAGUI-internal

Internal Functions

Intersect two expressions

PI chart functions: makeChart, solveChart

Create and solve a prime implicants chart

fuzzyand, fuzzyor

Logical operations

Create a truth table

Find calibration thresholds

Create an XY plot

Negate Boolean expressions

run the GUI shiny app for the QCA package

Calculate parameters of fit

QCAGUI: A Package for Qualitative Comparative Analysis, with a Graphical User Interface

Export a dataframe to a file or a connection

Lipset's indicators for the survival of democracy

Implicant matrix functions: allExpressions, createMatrix, getRow

Functions Related to the Implicant Matrix

QCA minimization using the enhanced Quine-McCluskey algorithm

_Ragin and Strand

University recognition of a graduate student union