Compositional package - RDocumentation

Contour plot of the t distribution in S^2

Contour plot of the t distribution in $S^2$

Estimating location and scatter parameters for compositional data

Ridge regression with the alpha-transformation plot

Ridge regression plot

Hypothesis testing for two or more compositional mean vectors

Contour plot of the kernel density estimate in S^2

Contour plot of the kernel density estimate in $S^2$

bMixture model selection via BIC

Mixture model selection via BIC

Multivariate regression with compositional data

Regularised discriminant analysis for compositional data using the alpha-transformation

Regularised discriminant analysis for compositional data using the $\alpha$-transformation

Cross validation for the regularised discriminant analysis with compositional data using the alpha-transformation

Cross validation for the regularised discriminant analysis with compositional data using the $\alpha$-transformation

The k-NN algorithm for compositional data

Empirical likelihood for a one sample mean vector hypothesis testing

Compositional-package

Compositional Data Analysis

Dirichlet regression

Fitting a Dirichlet distribution via Newton-Rapshon

Exponential empirical likelihood hypothesis testing for two mean vectors

Contour plot of a Dirichlet distribution in S^2

Contour plot of a Dirichlet distribution in $S^2$

Exponential empirical likelihood for a one sample mean vector hypothesis testing

Tuning of the k-NN algorithm for compositional data

Tuning of the he k-NN algorithm for compositional data

Log-likelihood ratio test for a Dirichlet mean vector

iiting a Dirichlet distribution

Fiiting a Dirichlet distribution

The Helmert sub-matrix

Empirical likelihood hypothesis testing for two mean vectors

Principal component generalised linear models

Kullback-Leibler divergence and Bhattacharyya distance between two Dirichlet distributions

hotel1T2

Hotelling's multivariate version of the t-test

James multivariate version of the t-test

Hotelling's multivariate version of the t-test

Multivariate analysis of variance

Divergence based regression for compositional data

Tuning the principal components with GLMs

Contour plot of a Gaussian mixture model in S^2

Contour plot of a Gaussian mixture model in $S^2$

Principal components regression

Multivariate analysis of variance (James test)

Non linear least squares regression for compositional data

Contour plot of the normal distribution in S^2

Contour plot of the normal distribution in $S^2$

MLE for the multivarite t distribution

Multivariate linear regression

Multivariate kernel density estimation

Tuning of the bandwidth h of the kernel using the maximum likelihood cross validation

Gaussian mixture models for compositional data

Tuning the parameters of the regularised discriminant analysis

Regularised discriminant analysis for Euclidean data

Tuning of the principal components regression

Multivariate t random values simulation on the simplex

Multivariate skew normal random values simulation on the simplex

Multivariate normal random values simulation on the simplex

Dirichlet random values simulation

Ridge regression plot

Ridge regression

Cross validation for the ridge regression

Multivariate t random values simulation

Spatial sign covariance matrix

Spatial median regression

Spatial median for Euclidean data

Log-likelihood ratio test for a symmetric Dirichlet distribution

Contour plot of the skew skewnormal distribution in S^2

Contour plot of the skew skewnormal distribution in $S^2$

Ternary diagram

Multivariate normal random values simulation

Simulation of compositional data from Gaussian mixture models

Compositional (version 1.5)

Compositional Data Analysis

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Functions in Compositional (1.5)