This initiated as a package companion to the book by C. Q. Schneider and C. Wagemann "Set-Theoretic Methods for the Social Sciences", Cambridge University Press. It has now grown to include functions for performing set-theoretic multi-method research (Schneider and Rohlfing 2013), QCA for clustered data (Garcia-Castro and Arino 2013), theory evaluation, and Enhanced Standard Analysis. Additionally it includes data to replicate the examples in the book and in the online appendix.
The package contains functions to perform set-theoretic multi-method research, theory evaluation, QCA for clustered data, Enhanced Standard Analyses, indirect calibration, calculate parameters of fit and produce XY plots. Furthermore, it contains all the data used in "Set-Theoretic Methods for the Social Sciences" and more.
Juraj Medzihorsky [aut], Ioana-Elena Oana [aut, cre], Carsten Q. Schneider [aut], Mario Quaranta [aut]
Maintainer: Ioana-Elena Oana <email@example.com>
Haesebrouck, T. (2015) Pitfalls in QCA's consistency measure. Journal of Comparative Politics 2:65-80.
Schneider, C. Q., Wagemann, C. (2012) Set-Theoretic Methods for the Social Sciences, Cambridge University Press: Cambridge
Schneider, C. Q., Wagemann, C., Quaranta, M. (2012). How To... Use Software for Set-Theoretic Analysis. Online Appendix to "Set-Theoretic Methods for the Social Sciences". Available at www.cambridge.org/schneider-wagemann
Schneider, C. Q., Rohlfing, I. 2013. Combining QCA and Process Tracing in Set-Theoretic Multi-Method Research. Sociological Methods Research 42(4): 559-597
Garcia-Castro, A., Arino, M. A.. 2013. A General Approach to Panel Data Set-Theoretic Research. COMPASSS Working Paper 2013-76