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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 (≥ 0.4.6.1) |
| 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 Diversity-of-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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.