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QCAcluster  

Tools for the Analysis of Clustered Data in QCA
View on CRAN: Click here


Download and install QCAcluster package within the R console
Install from CRAN:
install.packages("QCAcluster")

Install from Github:
library("remotes")
install_github("cran/QCAcluster")

Install by package version:
library("remotes")
install_version("QCAcluster", "0.1.0")



Attach the package and use:
library("QCAcluster")
Maintained by
Ingo Rohlfing
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-26
Latest Update: 2021-10-26
Description:
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 ).
How to cite:
Ingo Rohlfing (2021). QCAcluster: Tools for the Analysis of Clustered Data in QCA. R package version 0.1.0, https://cran.r-project.org/web/packages/QCAcluster. Accessed 21 Nov. 2024.
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