Title: Qualitative Comparative Analysis GUI
Authors@R: person("Adrian", "Dusa", role = c("aut", "cre", "cph"),
Description: This is an obsolete version of the package QCAGUI, which is now merged with package QCA.
Packaged: 2016-11-13 08:19:22 UTC; dusadrian

Title: Tools for the Analysis of Clustered Data in QCA
person(given = "Ingo", family = "Rohlfing",
person(given = "Ayjeren", family = "Bekmuratovna",
email = "arozyjum@uni-koeln.de", role = c("aut")),
person(given = "Jan", family = "Schwalbach",
email = "schwalbach@wiso.uni-koeln.de", role = c("aut"),
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

Title: Tests for Type I Error in Qualitative Comparative Analysis (QCA)
Description: Implements tests for Type I error in Qualitative Comparative Analysis (QCA) that take into account the multiple hypothesis tests inherent in the procedure. Tests can be carried out on three variants of QCA: crisp-set QCA (csQCA), multi-value QCA (mvQCA) and fuzzy-set QCA (fsQCA). For fsQCA, the fsQCApermTest() command implements a permutation test that provides 95% confidence intervals for the number of counterexamples and degree of consistency, respectively. The distributions of permuted values can be plotted against the observed values. For csQCA and mvQCA, simple binomial tests are implemented in csQCAbinTest() and mvQCAbinTest(), respectively.
Note: For details and derivation, see Braumoeller, Bear F. "Guarding
Against False Positives in Qualitative Comparative Analysis."