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:Ingo Rohlfing [aut, cre], Ayjeren Bekmuratovna [aut], Jan Schwalbach [aut]

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-4.5-any)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)
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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

Datasets:

On CRAN:

Conda:

4.68 score 2 stars 12 scripts 182 downloads 7 exports 66 dependencies

Last updated 3 years agofrom:c6e1ecb6a3. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macNOTEMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winNOTEMar 24 2025
R-4.4-macNOTEMar 24 2025
R-4.4-linuxNOTEMar 24 2025
R-4.3-winNOTEMar 24 2025
R-4.3-macNOTEMar 24 2025

Exports:partition_divpartition_minpartition_min_interupset_conditionsupset_configurationswopwop_inter

Dependencies:admiscbase64encbslibcachemclicolorspacecommonmarkcrayondata.tabledeclareddigestfansifarverfastmapfontawesomefsggplot2gluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelpSolvemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisespurrrQCAR6rappdirsRColorBrewerRcpprlangrlistsassscalesshinysourcetoolsstringitestittibbleUpSetRutf8vctrsvennviridisLitewithrXMLxtableyaml

Aggregation over partitions

Ingo Rohlfing

Rendered fromAggregation-over-partitions.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2021-10-26
Started: 2021-09-14

Diversity of partitions

Ingo Rohlfing

Rendered fromDiversity-of-partitions.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2021-09-14
Started: 2021-05-08

Minimization of partitions

Ingo Rohlfing

Rendered fromMinimization-of-partitions.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2021-09-30
Started: 2020-10-10

Weight of partitions

Ingo Rohlfing

Rendered fromWeight-of-partitions.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2021-09-30
Started: 2020-10-24