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 11 conditions and one outcome. While theoretically it could handle more conditions, it requires a lot of computer resources and is memory hungry; future versions will have more functions to address this problem, as well as functions for fuzzy-set QCA. The package doesn't currently handle missing values in the data, therefore it is not yet possible 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. It currently handles about 13 conditions and one outcome. Given sufficient memory and computing power, more conditions could be handled but realistically an _exact_ solution cannot be provided with acceptable speed for more than 15 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. It currently handles about 15 conditions and one outcome. Given sufficient memory and computing power, more conditions could be handled but realistically an _exact_ solution cannot be provided with acceptable speed for more than 15 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