QCAcluster: Tools for the Analysis of Clustered Data in QCA

Clustered set-relational data in Qualitative Comparative Analysis (QCA) can have a hierarchical structure, a panel structure or repeated cross sections. 'QCAcluster' allows QCA researchers to supplement the analysis of pooled the data with a disaggregated 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 minimizations. 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/>).

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: data.table (≥ 1.12.8), plyr (≥ 1.8.5), QCA (≥ 3.7), testit (≥ 0.11), purrr (≥ 0.3.3), UpSetR (≥ 1.4.0), magrittr, stringi (≥ 1.7.4), rlist (≥
Suggests: rmarkdown, knitr
Published: 2021-10-26
DOI: 10.32614/CRAN.package.QCAcluster
Author: Ingo Rohlfing [aut, cre] (0000-0001-8715-4771), Ayjeren Bekmuratovna [aut], Jan Schwalbach [aut] (0000-0002-6990-8098)
Maintainer: Ingo Rohlfing <i.rohlfing at uni-koeln.de>
BugReports: https://github.com/ingorohlfing/QCAcluster/issues
License: GPL-3
URL: https://github.com/ingorohlfing/QCAcluster
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: QCAcluster results


Reference manual: QCAcluster.pdf
Vignettes: Aggregation over partitions
Minimization of partitions
Weight of partitions


Package source: QCAcluster_0.1.0.tar.gz
Windows binaries: r-devel: QCAcluster_0.1.0.zip, r-release: QCAcluster_0.1.0.zip, r-oldrel: QCAcluster_0.1.0.zip
macOS binaries: r-release (arm64): QCAcluster_0.1.0.tgz, r-oldrel (arm64): QCAcluster_0.1.0.tgz, r-release (x86_64): QCAcluster_0.1.0.tgz, r-oldrel (x86_64): QCAcluster_0.1.0.tgz


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