Other packages > Find by keyword >

candisc  

Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
View on CRAN: Click here


Download and install candisc package within the R console
Install from CRAN:
install.packages("candisc")

Install from Github:
library("remotes")
install_github("cran/candisc")

Install by package version:
library("remotes")
install_version("candisc", "1.1.1")



Attach the package and use:
library("candisc")
Maintained by
Michael Friendly
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-04-14
Latest Update: 2024-05-06
Description:
Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.
How to cite:
Michael Friendly (2008). candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis. R package version 1.1.1, https://cran.r-project.org/web/packages/candisc. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:24), 0.5-9 (2008-04-14 20:16), 0.5-10 (2008-11-10 11:45), 0.5-13 (2009-02-03 21:03), 0.5-15 (2009-06-14 21:07), 0.5-16 (2009-11-19 14:00), 0.5-18 (2010-07-29 17:47), 0.5-19 (2010-09-19 20:30), 0.5-21 (2011-12-11 11:41), 0.6-0 (2013-01-23 07:26), 0.6-1 (2013-01-30 15:17), 0.6-2 (2013-02-12 18:11), 0.6-3 (2013-03-15 07:23), 0.6-5 (2013-06-12 08:15), 0.6-7 (2015-04-19 07:30), 0.7-0 (2016-04-27 13:30), 0.7-2 (2016-11-11 00:07), 0.8-0 (2017-09-19 19:18), 0.8-3 (2020-04-22 14:02), 0.8-5 (2021-01-22 17:30), 0.8-6 (2021-10-07 19:10), 0.9.0 (2024-05-06 19:50), 1.0.0 (2025-11-05 17:40), 1.1.0 (2025-11-25 07:11)
Other packages that cited candisc R package
View candisc citation profile
Other R packages that candisc depends, imports, suggests or enhances
Complete documentation for candisc
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA