Description: Performs the Quine-McCluskey algorithm for Qualitative Comparative Analysis, as described in Ragin, Charles C. 1987 "The Comparative Method. Moving beyond qualitative and quantitative strategies", Berkeley: University of California Press. It currently handles about 15 conditions and one outcome, but there is a new (experimetal) faster function that obtains the same exact solutions with a substantially lower memory consumption, and it handles more causal conditions. The next versions of this algorithm will be oriented towards multi-value and fuzzy-set functions. Also, in the near future the current functions will deal with missing values in the data in order to perform simplifying assumptions

Description: Performs the Quine-McCluskey algorithm for Qualitative Comparative Analysis, as described in Ragin, Charles C. 1987 "The Comparative Method. Moving beyond qualitative and quantitative strategies", Berkeley: University of California Press. In the classical approach it currently handles about 15 conditions and one outcome, but since version 0.4-5 the package has an enhanced, faster function that obtains the same exact solutions with a substantially lower memory consumption, and it handles even more causal conditions. The next versions of this algorithm will be oriented towards multi-value and fuzzy-set functions. Also, in the near future the current functions will deal with missing values in the data in order to perform simplifying assumptions

Description: Performs the Quine-McCluskey algorithm for Qualitative Comparative Analysis, as described in Ragin, Charles C. 1987 "The Comparative Method. Moving beyond qualitative and quantitative strategies", Berkeley: University of California Press. In the classical approach it currently handles about 15 conditions and one outcome, but since version 0.4-5 the package has an enhanced, faster function that obtains the same exact solutions with a substantially lower memory consumption, and it handles even more causal conditions. The next versions of this algorithm will be oriented towards multi-value and fuzzy-set functions. Also, in the near future the current functions will deal with missing values in the data