Covariate-adjusted Skewed Functional Model (cSFM)
Meng Li, Ana-Maria Staicu, and Howard D. Bondell
cSFM is a method to model skewed functional data when considering covariates via a copula-based approach.

Simple, Multiple and Joint Correspondence Analysis
Michael Greenacre <michael.greenacre@upf.edu>, Oleg Nenadic <onenadi@uni-goettingen.de>
A package for computation and visualization of simple, multiple and joint correspondence analysis.

Michael Greenacre <michael.greenacre@upf.edu>, Oleg Nenadic
<onenadi@uni-goettingen.de>
A package for computation and visualization of simple,
multiple and joint correspondence analysis.

c(person(given = "Michael", family = "Greenacre", role = "aut", email = "michael.greenacre@upf.edu"),
person(given = "Oleg", family = "Nenadic", role = c("aut", "cre"), email = "onenadi@uni-goettingen.de"),
person(given = "Michael", family = "Friendly", role = "ctb"))
Michael Greenacre [aut],
Oleg Nenadic [aut, cre],
Michael Friendly [ctb]

Michael Greenacre [aut], Oleg Nenadic [aut, cre], Michael Friendly [ctb]

Computation and visualization of simple, multiple and joint correspondence analysis.

A Tcl/Tk GUI for the functions in the ca package
A Graphical User Interface (GUI) for computation and
visualization of simple, multiple and joint correspondence
analysis with the ca package.

Mixed Computerized Adaptive Multistage Testing
person("Anthony", "Raborn", email = "anthony.w.raborn@gmail.com", role = c("aut","cre"))
Provides functions to more easily analyze computerized adaptive tests. Currently, functions for computerized
adaptive tests (CAT), computer adaptive multistage tests (CMT), and mixed computer adaptive multistage tests (McaMST)
utilizing CAT item-level adaptation for the initial stage and traditional MST module-level adaptation for the subsequent
stages have been created, and a variation of Hybrid computer adaptive MST is planned as well. For an in-depth look at
CAT and MST, see Weiss & Kingsbury (1984) <doi:10.1111/j.1745-3984.1984.tb01040.x> and Luecht & Nungester
(2000) <doi:10.1007/0-306-47531-6_6> respectively.