R: Configural Frequencies Analysis Using Log-Linear Modeling

# Configural Frequencies Analysis Using Log-Linear Modeling

## Documentation for package ‘confreq’ version 1.6.1-1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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
coef.CFA | S3 coefficients for CFA
coefficients | S3 coefficients for CFA
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
print.Pfreq | S3 print for Pfreq
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