This R-package contains examples from the book "Regression for Categorical Data", Tutz 2011, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.

rms, qvcalc, glmmML, nnet, pscl, VGAM, gee, mlogit, Ecdat,
geepack, mgcv, rpart, party, ordinal, lme4, vcdExtra, glmnet,
mboost, class, e1071, flexmix, lpSolve, GAMBoost, penalized
This R-package contains examples from the book "Regression for Categorical Data", Tutz 2012, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.

High Dimensional Factor Analysis and Confounder Adjusted Testing
and Estimation
c(person("Jingshu", "Wang", email = "jingshuw@stanford.edu", role = c("aut")),
person("Qingyuan", "Zhao", email = "qyzhao@stanford.edu", role = c("aut", "cre")))
Provides several methods for factor analysis in high dimension (both n,p >> 1) and methods to adjust for possible confounders in multiple hypothesis testing.
Jingshu Wang [aut],
Qingyuan Zhao [aut, cre]

c(person("Jingshu", "Wang", email = "jingshuw@galton.uchicago.edu", role = c("aut")),
person("Qingyuan", "Zhao", email = "qz280@cam.ac.uk", role = c("aut", "cre")))
Matrix, MASS, esaBcv, ruv, sva, corpcor, leapp

person(given = "Juraj",
family = "Szitas",
role = c("aut", "cre"),
email = "szitas.juraj13@gmail.com")
Simple, fast, and automatic encodings for category data using
a data.table backend. Most of the methods are an implementation
of "Sufficient Representation for Categorical Variables" by
Johannemann, Hadad, Athey, Wager (2019) <arXiv:1908.09874>,
particularly their mean, sparse principal component analysis,
low rank representation, and multinomial logit encodings.

Gives methods to create a catenary object and then plot it
and get properties of it. Can construct from parameters or
endpoints. Also can get catenary fitted to data.
'catenary.R' 'package.R' 'fittedCatenary.R' 'getCatLength.R'
'minmaxLength.R' 'fitCatEndPts.R' 'f.R'
'getFunctionEnvelopeCat.R' 'getFunctionEnvelopePara.R'
'fitCat.R' 'fitMaxCat.R' 'fitNaturalCat.R' 'ctestiphon.R'