swMATH ID: 11694
Software Authors: Stemmler, Mark; Joerg-Henrik Heine, R.W. Alexandrowicz
Description: Person-centered methods. Configural frequency analysis (CFA) and other methods for the analysis of contingency tables This book takes an easy-to-understand look at the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. The main focus of the book will be on configural frequency analysis (CFA; Lienert and Krauth, 1975) which is a statistical method that looks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequented means that this cell or configuration is observed less often than expected. In CFA a pattern or configuration that contains more observed cases than expected is called a type; similarly, a pattern or configuration that is less observed than expected are called an antitype. CFA is similar to log-linear modeling. In log-linear modeling the goal is to come up with a fitting model including all important variables. Instead of fitting a model, CFA looks at the significant residuals of a log-linear model. The book describes the use of an R-package called confreq (derived from configural frequency analysis). The use of the software package is described and demonstrated with data examples.
Homepage: http://cran.r-project.org/web/packages/confreq/index.html
Source Code:  https://github.com/cran/confreq
Dependencies: R
Related Software: R; mlmts; SADI; ctsfeatures; cluster (R); ClusterR; caret; ggplot2; astsa; Stata; TraMineR; Python; ART; alphaOutlier
Cited in: 3 Publications

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