Compositional package - RDocumentation

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 $S^2$

The k-NN algorithm for compositional data

Estimating location and scatter parameters for compositional data

Ridge regression with the alpha-transformation plot

Ridge regression plot

Multivariate regression with compositional data

bMixture model selection via BIC

Mixture model selection via BIC

Contour plot of the t distribution in S^2

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

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

Exponential empirical likelihood hypothesis testing for two mean vectors

Exponential empirical likelihood for a one sample mean vector hypothesis testing

Compositional-package

Compositional Data Analysis

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

Contour plot of a Dirichlet distribution in S^2

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

Dirichlet regression

Empirical likelihood for a one sample mean vector hypothesis testing

Fitting a Dirichlet distribution via Newton-Rapshon

Principal component generalised linear models

The Helmert sub-matrix

Tuning the principal components with GLMs

Empirical likelihood hypothesis testing for two mean vectors

Kullback-Leibler divergence and Bhattacharyya distance between two Dirichlet distributions

iiting a Dirichlet distribution

Fiiting a Dirichlet distribution

James multivariate version of the t-test

Divergence based regression for compositional data

hotel1T2

Hotelling's multivariate version of the t-test

Contour plot of a Gaussian mixture model in S^2

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

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

Principal components regression

MLE for the multivarite t distribution

Hotelling's multivariate version of the t-test

Multivariate kernel density estimation

Multivariate linear regression

Contour plot of the normal distribution in S^2

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

Multivariate analysis of variance

Non linear least squares regression for compositional data

Multivariate analysis of variance (James test)

Ridge regression plot

Gaussian mixture models for compositional data

Regularised discriminant analysis for Euclidean data

Multivariate t random values simulation on the simplex

Cross validation for the ridge regression

Dirichlet random values simulation

Tuning the parameters of the regularised discriminant analysis

Multivariate normal random values simulation on the simplex

Tuning of the principal components regression

Multivariate skew normal random values simulation on the simplex

Multivariate t random values simulation

Spatial median for Euclidean data

Contour plot of the skew skewnormal distribution in S^2

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

Ridge regression

Spatial median regression

Simulation of compositional data from Gaussian mixture models

Ternary diagram

Multivariate normal random values simulation

Log-likelihood ratio test for a symmetric Dirichlet distribution

Spatial sign covariance matrix

Compositional (version 1.4)

Compositional Data Analysis

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Functions in Compositional (1.4)