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-4.4-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'))

Peer review:

Bug tracker:https://github.com/ingorohlfing/qcacluster/issues

Datasets:

On CRAN:

7 exports 2 stars 0.93 score 66 dependencies 12 scripts 195 downloads

Last updated 3 years agofrom:c6e1ecb6a3. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winNOTEAug 26 2024
R-4.5-linuxNOTEAug 26 2024
R-4.4-winNOTEAug 26 2024
R-4.4-macNOTEAug 26 2024
R-4.3-winNOTEAug 26 2024
R-4.3-macNOTEAug 26 2024

Exports:partition_divpartition_minpartition_min_interupset_conditionsupset_configurationswopwop_inter

Dependencies:admiscbase64encbslibcachemclicolorspacecommonmarkcrayondata.tabledeclareddigestfansifarverfastmapfontawesomefsggplot2gluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelpSolvemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisespurrrQCAR6rappdirsRColorBrewerRcpprlangrlistsassscalesshinysourcetoolsstringitestittibbleUpSetRutf8vctrsvennviridisLitewithrXMLxtableyaml

Aggregation over partitions

Ingo Rohlfing

Rendered fromAggregation-over-partitions.Rmdusingknitr::rmarkdownon Aug 26 2024.

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

Diversity of partitions

Ingo Rohlfing

Rendered fromDiversity-of-partitions.Rmdusingknitr::rmarkdownon Aug 26 2024.

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

Minimization of partitions

Ingo Rohlfing

Rendered fromMinimization-of-partitions.Rmdusingknitr::rmarkdownon Aug 26 2024.

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

Weight of partitions

Ingo Rohlfing

Rendered fromWeight-of-partitions.Rmdusingknitr::rmarkdownon Aug 26 2024.

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