Three people have contributed to
QCAcluster. In alphabetical order:
Clustered data can take different forms in empirical research. The data might have a hierarchical structure (lower-level units nested in higher-level units); we might have multiple units nested in time (panel data); or the combination of both. The R package
QCAcluster includes multiple tools for the analysis of clustered data in Qualitative Comparative Analysis. The use of the tools promises insights that would go unnoticed in a pooled analysis ignoring the clusters in the data.
This is work in progress. You can download the development version from Github.
Work on the package was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement number 638425, Enhanced Qualitative and Multimethod Research).