Analysis of a matrix of polytomous items using Nominal Logistic Biplots (NLB) according to HernandezSanchez and VicenteVillardon (2013). The NLB procedure extends the binary logistic biplot to nominal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as convex prediction regions rather than vectors as in a classical or binary biplot. Using the methods from Computational Geometry, the set of prediction regions is converted to a set of points in such a way that the prediction for each individual is established by its closest "category point". Then interpretation is based on distances rather than on projections. In this package we implement the geometry of such a representation and construct computational algorithms for the estimation of parameters and the calculation of prediction regions.
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Author  Julio Cesar Hernandez Sanchez, Jose Luis VicenteVillardon 
Date of publication  20140502 07:13:20 
Maintainer  Julio Cesar Hernandez Sanchez <juliocesar_avila@usal.es> 
License  GPL (>= 2) 
Version  0.2 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Package overview 
Functions  

AdjustFitting  Source code 
BuildTesselationsObject  Source code 
CalculateVariableModels  Source code 
CheckDataSet  Source code 
ColMax  Source code 
Env  Man page 
Eq2gSolve  Source code 
EvalPolylogist  Source code 
Generators  Man page Source code 
HairColor  Man page 
HideCategories  Source code 
IntersectSegments  Source code 
InvertTesselation  Source code 
MakeVoronoiVariable  Source code 
Nominal2Binary  Man page Source code 
NominalDistances  Man page Source code 
NominalLogBiplotEM  Man page Source code 
NominalLogisticBiplot  Man page Source code 
NominalLogisticBiplotpackage  Man page 
NominalMatrix2Binary  Man page Source code 
PCoA  Man page Source code 
PhD_nomCyL  Man page 
RidgeMultinomialRegression  Man page Source code 
Right_left  Source code 
WriteMultinomialLogisticBiplot  Source code 
afc  Man page Source code 
diagonal  Source code 
hermquad  Man page Source code 
logit  Source code 
multiquad  Man page Source code 
mvvObjectFill  Source code 
mvvSingleVariable  Source code 
patterns_eq  Source code 
plot.nominal.logistic.biplot  Man page Source code 
plot.voronoiprob  Source code 
plot2CategLine  Source code 
plotNominalFittedVariable  Man page Source code 
plotNominalVariable  Man page Source code 
polylogist  Man page Source code 
summary.nominal.logistic.biplot  Man page Source code 
textsmart  Source code 
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