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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.

copied from cf-staging / r-candisc
Type Size Name Uploaded Downloads Labels
conda 424.8 kB | noarch/r-candisc-0.9.0-r44hc72bb7e_1.conda  6 months and 26 days ago 580 main
conda 418.0 kB | noarch/r-candisc-0.9.0-r43hc72bb7e_1.conda  6 months and 26 days ago 674 main
conda 419.6 kB | noarch/r-candisc-0.9.0-r43hc72bb7e_0.conda  9 months and 23 days ago 875 main
conda 419.0 kB | noarch/r-candisc-0.9.0-r42hc72bb7e_0.conda  9 months and 23 days ago 825 main
conda 410.2 kB | noarch/r-candisc-0.8_6-r43hc72bb7e_2.conda  1 year and 8 months ago 1417 main
conda 412.1 kB | noarch/r-candisc-0.8_6-r42hc72bb7e_2.conda  1 year and 8 months ago 1257 main
conda 434.6 kB | noarch/r-candisc-0.8_6-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1607 main
conda 434.6 kB | noarch/r-candisc-0.8_6-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1468 main
conda 433.1 kB | noarch/r-candisc-0.8_6-r41hc72bb7e_0.tar.bz2  3 years and 4 months ago 2282 main
conda 432.8 kB | noarch/r-candisc-0.8_6-r40hc72bb7e_0.tar.bz2  3 years and 4 months ago 2089 main
conda 431.0 kB | noarch/r-candisc-0.8_5-r40hc72bb7e_0.tar.bz2  3 years and 7 months ago 2001 main
conda 431.0 kB | noarch/r-candisc-0.8_5-r41hc72bb7e_0.tar.bz2  3 years and 7 months ago 1987 main

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