Package: QCApro 1.1-2

Alrik Thiem

QCApro: Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

Provides advanced functionality for performing configurational comparative research with Qualitative Comparative Analysis (QCA), including crisp-set, multi-value, and fuzzy-set QCA. It also offers advanced tools for sensitivity diagnostics and methodological evaluations of QCA.

Authors:Alrik Thiem [aut, cre, cph], Michael Baumgartner [ctb], Adrian Dusa [ctb], Reto Spoehel [ctb]

QCApro_1.1-2.tar.gz
QCApro_1.1-2.tar.gz(r-4.5-noble)QCApro_1.1-2.tar.gz(r-4.4-noble)
QCApro_1.1-2.tgz(r-4.4-emscripten)QCApro_1.1-2.tgz(r-4.3-emscripten)
QCApro.pdf |QCApro.html✨
QCApro/json (API)
NEWS

# Install 'QCApro' in R:
install.packages('QCApro', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • d.biodiversity - Linkages and Collective Action in Biodiversity Conservation
  • d.education - Impact of New Public Management Instruments on PhD Education
  • d.graduate - Graduate Student Union Recognition at Research Universities
  • d.health - Trends in Narrowing Health Inequalities in England
  • d.homeless - Outcomes of Homeless Social Movement Organizations
  • d.jobsecurity - Job Security Regulations in Western Democracies
  • d.napoleon - Reception of the Code Napoleon in Germany
  • d.partybans - Party Bans Sub-Saharan Africa
  • d.represent - Women's Representation in Western Democratic Parliaments
  • d.socialsecurity - The Emergence of the Social Security State
  • d.stakeholder - Decoupling in Response to Stakeholder Pressures
  • d.transport - Determinants of High Transport Project Acceptance
  • d.tumorscreen - Comparing Universal Lynch Syndrome Tumor-Screening Programs
  • d.urban - Explaining Urban Regimes

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

49 exports 0.23 score 1 dependencies 1 mentions 29 scripts 737 downloads

Last updated 7 years agofrom:e0071bdd2b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-linux-x86_64OKSep 01 2024

Exports:ambiguitybase3rowscalibratecreateChartcreateStringdemoChartDeMorganDeMorganLoopeQMCeQMCLoopfactorizefindSubsetsfindSupersetsfindThfuzzyandfuzzyorgetRowgetSolutionimplicantMatriximplicIndepis.DeMorganis.pofis.qcais.ttlimitedDiversitymintermMatrixpofprettyStringprettyTablerandomDGSretentionrowDominancesolveChartsortMatrixsortVectorsubmodelssubmodels.loopsuperSubsettestTESAtruthTableverify.ambigverify.dataverify.dir.expverify.inf.testverify.mqcaverify.qcaverify.ttwritePrimeimpwriteSolution

Dependencies:lpSolve

Readme and manuals

Help Manual

Help pageTopics
Advanced Functionality for Performing and Evaluating Qualitative Comparative AnalysisQCApro-package QCApro
Analyze the Degree of Ambiguity across Research Design Variationsambiguity
Calibrate Raw Data into Configurational Datacalibrate
Linkages and Collective Action in Biodiversity Conservationd.biodiversity
Impact of New Public Management Instruments on PhD Educationd.education
Graduate Student Union Recognition at Research Universitiesd.graduate
Trends in Narrowing Health Inequalities in Englandd.health
Outcomes of Homeless Social Movement Organizationsd.homeless
Job Security Regulations in Western Democraciesd.jobsecurity
Reception of the Code Napoleon in Germanyd.napoleon
Party Bans Sub-Saharan Africad.partybans
Women's Representation in Western Democratic Parliamentsd.represent
The Emergence of the Social Security Stated.socialsecurity
Decoupling in Response to Stakeholder Pressuresd.stakeholder
Determinants of High Transport Project Acceptanced.transport
Comparing Universal Lynch Syndrome Tumor-Screening Programsd.tumorscreen
Explaining Urban Regimesd.urban
Negate Boolean Expressions using De Morgan's LawsDeMorgan is.DeMorgan
Minimization with Enhanced Quine-McCluskey AlgorithmeQMC is.qca
Factorize Configurational Expressionsfactorize
Find Calibration ThresholdsfindTh
Create Implicant MatricesimplicantMatrix
Test for Implicational Independence between two FactorsimplicIndep
Analyze QCA Solution Behaviour under Limited Empirical DiversitylimitedDiversity
Create Minterm MatricesmintermMatrix
Compute Set-Relational Parameters of Fitis.pof pof
Build a Random Data-Generating StructurerandomDGS
Compute Retention Probabilities of QCA Baseline Solutionsretention
Compute All Correctness-Preserving Submodels of a QCA Reference Modelsubmodels
Find Superset and Subset RelationssuperSubset
Testing Schneider and Wagemann's Theory-Guided/Enhanced Standard Analysis (T/ESA)testTESA
Create a Truth Tableis.tt truthTable