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confreq (version 1.6.1-1)

Configural Frequencies Analysis Using Log-Linear Modeling

Description

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.

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Version

Install

install.packages('confreq')

Monthly Downloads

392

Version

1.6.1-1

License

GPL-3

Maintainer

Joerg-Henrik Heine

Last Published

November 13th, 2022

Functions in confreq (1.6.1-1)

CFA

Configural Frequencies Analysis Main Function
Lienert1978

The Lienert (1978) Data
chi_local_test_cfa

Local Chi-Square Test
ftab

Tabulating Answer Categories in Data
expected_cfa

Expected frequencies with glm
dat2fre

dataset to pattern frequency conversion
lr

Likelihood Ratio Chi-square (LR)
LienertLSD

The Lienert LSD Data
z_tests_cfa

Two z-Approximation Tests
lazar

The Data Example from Lazarsfeld and Henry
confreq-package

Configural Frequencies Analysis Using Log-linear Modeling
design_cfg_cfa

Designmatrix for log linear CFA models
newborns

The Data Example from Stemmler 2020
expected_margin_cfa

Expected frequencies using margins
S2CFA

Configural Frequencies Analysis for two Samples.
fre2dat

pattern frequency to dataset conversion
plot.CFA

S3 plot for CFA
df_des_cfa

Degrees of freedom
plot.S2CFA

S3 plot for S2CFA
fre2tab

pattern frequency to table conversion
summary.CFA

S3 Summary for CFA
summary.S2CFA

S3 Summary for S2CFA
pos_cfg_cfa

Possible configurations
stirling_cfa

Approximation to the binomial using Stirling's Formula
suicide

The Krauth & Lienert suicide Data
print.Pfreq

S3 print for Pfreq
dat2cov

conversion of a covariate dataset into summary covariate values
binomial_test_cfa

Binomial Test
coef.CFA

S3 coefficients for CFA