Configural Frequencies Analysis Using Log-Linear Modeling
Binomial Test
Configural Frequencies Analysis Main Function
Local Chi-Square Test
S3 coefficients for CFA
Configural Frequencies Analysis Using Log-linear Modeling
Expected frequencies using margins
S3 plot for S2CFA
Possible configurations
S3 print for Pfreq
conversion of a covariate dataset into summary covariate values
dataset to pattern frequency conversion
Designmatrix for log linear CFA models
Degrees of freedom
Expected frequencies with glm
pattern frequency to dataset conversion
pattern frequency to table conversion
Tabulating Answer Categories in Data
Likelihood Ratio Chi-square (LR)
S3 plot for CFA
Configural Frequencies Analysis for two Samples.
Approximation to the binomial using Stirling's Formula
S3 Summary for CFA
S3 Summary for S2CFA
Two z-Approximation Tests
Offers several functions for Configural Frequencies Analysis (CFA), which is a useful statistical tool for the analysis of multiway contingency tables. CFA was introduced by G. A. Lienert as 'Konfigurations Frequenz Analyse - KFA'. Lienert, G. A. (1971). Die Konfigurationsfrequenzanalyse: I. Ein neuer Weg zu Typen und Syndromen. Zeitschrift für Klinische Psychologie und Psychotherapie, 19(2), 99–115.