Linear Discriminant Function and Canonical Correlation Analysis
Produces SPSS- and SAS-like output for linear discriminant
function analysis and canonical correlation analysis. The methods are described in
Manly & Alberto (2017, ISBN:9781498728966),
Tabachnik & Fidell (2013, ISBN-10:0-205-89081-4), and
Venables & Ripley (2002, ISBN:0-387-95457-0).

Produces SPSS- and SAS-like output for linear discriminant
function analysis and canonical correlation analysis. The methods are described in
Manly & Alberto (2017, ISBN:9781498728966),
Rencher (2002, ISBN:0-471-41889-7), and
Tabachnik & Fidell (2019, ISBN:9780134790541).

graphics, stats, BayesFactor, MVN, utils

Differential Functioning of Items and Tests (DFIT) framework
analyses.
Victor H. Cervantes <vcervantes@icfes.gov.co, vhcervantesb@unal.edu.co>
A set of functions to perform Raju, van der Linden and Fleer's
(1995) Differential Item and Item Functioning (DFIT) analyses. It includes
functions to use the Monte Carlo Item Parameter Replication (IPR) approach
(Oshima, Raju, & Nanda, 2006) for obtaining the associated statistical
significance tests cut-off points. They may also be used for a priori and
post-hoc power calculations.
Instituto Colombiano para la Evaluacion de la Educacion -
ICFES

Differential Functioning of Items and Tests
A set of functions to perform Raju, van der Linden and Fleer's
(1995) Differential Functioning of Items and Tests (DFIT) analyses. It includes
functions to use the Monte Carlo Item Parameter Replication  approach
(Oshima, Raju, & Nanda, 2006) for obtaining the associated statistical
significance tests cut-off points. They may also be used for a priori and
post-hoc power calculations.

A set of functions to perform Raju, van der Linden and Fleer's
(1995, doi:10.1177/014662169501900405) Differential Functioning of Items
and Tests (DFIT) analyses. It includes functions to use the Monte Carlo Item
Parameter Replication approach (Oshima, Raju, & Nanda, 2006, doi:10.1111/j.
1745-3984.2006.00001.x) for obtaining the associated statistical significance
tests cut-off points. They may also be used for a priori and post-hoc power
calculations (Cervantes, 2017, doi:10.18637/jss.v076.i05).
Instituto Colombiano para la Evaluacion de la Educacion -
ICFES; Victor H. Cervantes