Package: QCAcluster 0.1.0
Ingo Rohlfing
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/>).
Authors:
QCAcluster_0.1.0.tar.gz
QCAcluster_0.1.0.zip(r-4.5)QCAcluster_0.1.0.zip(r-4.4)QCAcluster_0.1.0.zip(r-4.3)
QCAcluster_0.1.0.tgz(r-4.4-any)QCAcluster_0.1.0.tgz(r-4.3-any)
QCAcluster_0.1.0.tar.gz(r-4.5-noble)QCAcluster_0.1.0.tar.gz(r-4.4-noble)
QCAcluster_0.1.0.tgz(r-4.4-emscripten)QCAcluster_0.1.0.tgz(r-4.3-emscripten)
QCAcluster.pdf |QCAcluster.html✨
QCAcluster/json (API)
| # Install 'QCAcluster' in R: |
| install.packages('QCAcluster', repos = c('https://ingorohlfing.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ingorohlfing/qcacluster/issues
- Grauvogel2014 - Original data used by Grauvogel/von Soest
- Schwarz2016 - Original data used by Schwarz
- Thiem2011 - Original data used by Thiem
Last updated 3 years agofrom:c6e1ecb6a3. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | NOTE | Oct 25 2024 |
| R-4.5-linux | NOTE | Oct 25 2024 |
| R-4.4-win | NOTE | Oct 25 2024 |
| R-4.4-mac | NOTE | Oct 25 2024 |
| R-4.3-win | NOTE | Oct 25 2024 |
| R-4.3-mac | NOTE | Oct 25 2024 |
Exports:partition_divpartition_minpartition_min_interupset_conditionsupset_configurationswopwop_inter
Dependencies:admiscbase64encbslibcachemclicolorspacecommonmarkcrayondata.tabledeclareddigestfansifarverfastmapfontawesomefsggplot2gluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelpSolvemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisespurrrQCAR6rappdirsRColorBrewerRcpprlangrlistsassscalesshinysourcetoolsstringitestittibbleUpSetRutf8vctrsvennviridisLitewithrXMLxtableyaml
Aggregation over partitions
Rendered fromAggregation-over-partitions.Rmdusingknitr::rmarkdownon Oct 25 2024.Last update: 2021-10-26
Started: 2021-09-14
Diversity of partitions
Rendered fromDiversity-of-partitions.Rmdusingknitr::rmarkdownon Oct 25 2024.Last update: 2021-09-14
Started: 2021-05-08
Minimization of partitions
Rendered fromMinimization-of-partitions.Rmdusingknitr::rmarkdownon Oct 25 2024.Last update: 2021-09-30
Started: 2020-10-10
Weight of partitions
Rendered fromWeight-of-partitions.Rmdusingknitr::rmarkdownon Oct 25 2024.Last update: 2021-09-30
Started: 2020-10-24
