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QCA (version 3.8.2)

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

3,059

Version

3.8.2

License

GPL (>= 3)

Maintainer

Adrian Dusa

Last Published

June 3rd, 2020

Functions in QCA (3.8.2)

_Legacy datasets

Legacy datasets

Internal Functions

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

_Cebotari and Vink

Ethnic protest in Europe

QCA: A Package for Qualitative Comparative Analysis

_Ragin and Strand

University recognition of a graduate student union

Create an XY plot

Class voting in post-World War era

Display the distribution of points for a single condition

Time-Difference

Find calibration thresholds

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

Generate a custom data structure

Export a dataframe to a file or a connection

Find untenable configurations

Perform CNA - coincidence analysis using QCA

Number of combinations at a given complexity layer

Calibrate raw data to crisp or fuzzy sets

Parameters of fit

Calculate parameters of fit

fuzzyand, fuzzyor

Logical operations

Theory evaluation

Compute the retention probability of a csQCA solution

run the GUI shiny app for the QCA package

Create a truth table

Minimize a truth table

superSubset, findSubsets, findSupersets

Functions to find subsets or supersets