Tools for the Analysis of Clustered Data in QCA R package QCAcluster version 0.2.0 Clustered set-relational data in Qualitative Comparative Analysis (QCA) can have a hierarchical structure, a panel structure or repeated cross sections. 'QCAcluster' allows researchers to supplement the analysis of pooled the data with a differentiated perspective focusing on selected partitions of the data. The pooled data can be partitioned along the dimensions of the clustered data (individual cross sections or time series) to perform partition-specific truth table minimization. Empirical researchers can further calculate the weight that each partition has on the parameters of the pooled solution and the diversity of the cases under analysis within and across partitions (see <https://ingorohlfing.github.io/QCAcluster/>). Software Depends: R (>= 2.10) Imports: plyr (>= 1.8.5), QCA (>= 3.07), testit (>= 0.11), purrr (>= 0.3.3), UpSetR (>= 1.4.0), magrittr, stringi (>= 1.7.4), rlist(>= 0.4.6.1) Suggests: rmarkdown, knitr Ingo Rohlfing <ingo.rohlfing@uni-passau.de> Comprehensive R Archive Network (CRAN) Ingo Rohlfing [aut, cre] (0000-0001-8715-4771), Ayjeren Bekmuratovna [aut], Jan Schwalbach [aut] (0000-0002-6990-8098) GPL-3 2026-05-23 application/tgz https://CRAN.R-project.org/package=QCAcluster doi:10.32614/CRAN.package.QCAcluster en-US