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.
A description of the package functions and their use can be found on the package website.
Version 0.2.0 of the package is on Github and on CRAN. You can install the package from CRAN with the following code:
install.packages("QCAcluster")
You can download the Github version with the following code using {pak}:
# pak::pak("ingorohlfing/QCAcluster")
install.packages("QCAcluster", repos = c('https://ingorohlfing.r-universe.dev', 'https://cloud.r-project.org'))
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).