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QCAcluster

2021-10-22

Contributors

Three people have contributed to QCAcluster. In alphabetical order:

Description of package

Clustered data can take different forms in empirical research. The data might have a hierarchical structure (lower-level units nested in higher-level units); we might have multiple units nested in time (panel data); or the combination of both. The R package QCAcluster includes multiple tools for the analysis of clustered data in Qualitative Comparative Analysis. The use of the tools promises insights that would go unnoticed in a pooled analysis ignoring the clusters in the data.

This is work in progress. You can download the development version 0.9.0.

devtools::install_github("ingorohlfing/QCAcluster")

Work on the package was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement number 638425, Enhanced Qualitative and Multimethod Research).

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Version

Install

install.packages('QCAcluster')

Monthly Downloads

22

Version

0.1.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Ingo Rohlfing

Last Published

October 26th, 2021

Functions in QCAcluster (0.1.0)

Thiem2011

Original data used by Thiem (2011)
partition_div

Diversity of cases belonging to the same partition of the pooled data
wop

Weight of partitions for pooled solution parameters for conservative or parsimonious solution
wop_inter

Calculation of weight of partitions in pooled solution parameters for intermediate solution
upset_configurations

Aggregation of individual configurations over partition-specific models
upset_conditions

Aggregation of individual conditions over partition-specific models
Grauvogel2014

Original data used by Grauvogel/von Soest (2014)
partition_min

Generation of conservative or parsimonious solution for individual partitions
partition_min_inter

Generation of intermediate solutions for individual partitions of clustered set-relational data
Schwarz2016

Original data used by Schwarz (2016)