QCA

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets (csQCA), temporal (tQCA), multivalue (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.

License

The package QCA is licensed under the GPLv3, with additional licences for external libraries (see files in the inst directory for additional details)

Help topics

• QCA-package
  QCA: A Package for Qualitative Comparative Analysis

     Functions:

• calibrate
  Calibrate raw data to crisp or fuzzy sets
• deMorgan
  Negate Boolean expressions
• eqmcc
  QCA minimization using the enhanced Quine-McCluskey algorithm
• export
  Export a dataframe to a file or a connection
• factorize
  Factorize Boolean expressions
• findTh
  Find calibration thresholds
• fuzzyand, fuzzyor
  Logical operations
• Implicant matrix functions: allExpressions, createMatrix, getRow
  Functions Related to the Implicant Matrix
• Interpret SOP expression: translate, compute, findRows, sop
  Functions to interpret a SOP expression
• intersection
  Intersect two expressions
• PI chart functions: makeChart, solveChart
  Create and solve a prime implicants chart
• pof
  Calculate parameters of fit
• recode
  Recode a variable
• retention
  Compute the retention probability of a csQCA solution
• runGUI
  run the GUI shiny app for the QCA package
• superSubset, findSubsets, findSupersets
  Functions to find subsets or supersets
• truthTable
  Create a truth table
• Xplot
  Display the distribution of points for a single condition
• XYplot
  Create an XY plot

     Datasets:

• Cebotari and Vink(CVR, CVF)
  Ethnic protest in Europe
• Lipset(LR, LC, LM, LF)
  Lipset's indicators for the survival of democracy
• Ragin and Strand(RS)
  University recognition of a graduate student union
• Legacy datasets
  Legacy datasets