Configural Frequencies Analysis Using Loglinear Modeling
joerg-henrik heine, R.W. Alexandrowicz and some package testing by Mark
Stemmler
Several functions for Configural Frequencies Analysis (CFA or
rather KFA, which is the german term)
'design_cfg_cfa.R' 'df_des_cfa.R' 'pos_cfg_cfa.R' 'fre2dat.R'
'dat2fre.R' 'expected_cfa.R' 'binomial_test_cfa.R'
'z_tests_cfa.R' 'chi_local_test_cfa.R' 'CFA.R' 'confreq.R'
'stirling_cfa.r'

Several functions for Configural Frequencies Analysis - introduced
by G. A. Lienert as 'Konfigurations Frequenz Analyse' (KFA)

Configural Frequencies Analysis Using Log-Linear Modeling
Joerg-Henrik Heine, R.W. Alexandrowicz (function stirling_cfa() )
and some package testing by Mark Stemmler
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'.

Configural Frequencies Analysis Using Log-linear Modeling

Joerg-Henrik Heine, R.W. Alexandrowicz (function stirling_cfa() )
and intensive package testing by Mark Stemmler

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.

R (>= 3.5.0), stats, gmp, methods, grid, vcd

Download and read data on United States congressional proceedings.
Data is read from the Library of Congress's Congress.gov Application Programming
Interface (<https://github.com/LibraryOfCongress/api.congress.gov/>). Functions
exist for all version 3 endpoints, including for bills, amendments, congresses,
summaries, members, reports, communications, nominations, and treaties.
cli, dplyr, glue, httr2, purrr, rlang, stringr, tibble, tidyr
httptest2, spelling, testthat (>= 3.0.0)