Configural Frequencies Analysis Using Log-Linear Modeling

Documentation for package ‘confreq’ version 1.5.6-4

confreq-package	Configural Frequencies Analysis Using Log-linear Modeling
binomial_test_cfa	Binomial Test
CFA	Configural Frequencies Analysis Main Function
chi_local_test_cfa	Local Chi-Square Test
dat2cov	conversion of a covariate dataset into summary covariate values
dat2fre	dataset to pattern frequency conversion
design_cfg_cfa	Designmatrix for log linear CFA models
df_des_cfa	Degrees of freedom
expected_cfa	Expected frequencies with glm
expected_margin_cfa	Expected frequencies using margins
fre2dat	pattern frequency to dataset conversion
fre2tab	pattern frequency to table conversion
ftab	Tabulating Answer Categories in Data
lazar	The Data Example from Lazarsfeld and Henry
Lienert1978	The Lienert (1978) Data
LienertLSD	The Lienert LSD Data
lr	Likelihood Ratio Chi-square (LR)
newborns	The Data Example from Stemmler 2020
plot.CFA	S3 plot for CFA
plot.S2CFA	S3 plot for S2CFA
pos_cfg_cfa	Possible configurations
S2CFA	Configural Frequencies Analysis for two Samples.
stirling_cfa	Approximation to the binomial using Stirling's Formula
suicide	The Krauth & Lienert suicide Data
summary.CFA	S3 Summary for CFA
summary.S2CFA	S3 Summary for S2CFA
z_tests_cfa	Two z-Approximation Tests