Learn R Programming

⚠️There's a newer version (3.23) of this package.Take me there.

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.

Copy Link

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
modelFit

Theory evaluation
export

Export a dataframe to a file or a connection
PI chart functions: makeChart, findmin, solveChart

Create and solve a prime implicants chart
minimize

Minimize a truth table
findTh

Find calibration thresholds
findRows

Find untenable configurations
Implicant matrix functions: allExpressions, createMatrix, getRow

Functions Related to the Implicant Matrix
fuzzyand, fuzzyor

Logical operations
calibrate

Calibrate raw data to crisp or fuzzy sets
causalChain

Perform CNA - coincidence analysis using QCA
runGUI

run the GUI shiny app for the QCA package
superSubset, findSubsets, findSupersets

Functions to find subsets or supersets
truthTable

Create a truth table
retention

Compute the retention probability of a csQCA solution
Parameters of fit

Calculate parameters of fit
_Nieuwbeerta

Class voting in post-World War era
QCA-internal

Internal Functions
_Lipset

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

Legacy datasets
_Cebotari and Vink

Ethnic protest in Europe
_Hino

Ethnic protest in Europe
QCA-package

QCA: A Package for Qualitative Comparative Analysis
XYplot

Create an XY plot
Xplot

Display the distribution of points for a single condition