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Compositional (version 1.0)
Compositional Data Analysis
Description
A collection of R functions for compositional data analysis.
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Install
install.packages('Compositional')
Monthly Downloads
1,059
Version
1.0
License
GPL (>= 2)
Maintainer
Michail Tsagris
Last Published
February 9th, 2016
Functions in Compositional (1.0)
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diri.nr
Fiiting a Dirichlet distribution via Newton-Rapshon
alfadist
The $\alpha$-distance
comp.den
Estimating location and scatter parameters
kl.diri
Kullback-Leibler divergence and Bhattacharyya distance between two Dirichlet distributions
mkde
Multivariate kernel density estimation
spatmed.reg
Spatial median regression
alfapcr.tune
Tuning the number of PCs in the PCR with compositional data using the $\alpha$-transformation
esov.compreg
ESOV regression
skewnorm.contour
Contour plot of the skew skewnormal distribution in $S^2$
sym.test
Log-likelihood ratio test for a symmetric Dirichlet distribution
alfa
The $\alpha$-transformation
glmpcr.tune
Tuning the principal components in the GLM
pcr.tune
Tuning of the principal components regression
rdiri
Dirichlet random values simulation
diri.contour
Contour plot of a Dirichlet distribution in $S^2$
rmvt
Multivariate t random values simulation
alfa.pcr
Multivariate or univariate regression with compositional data in the covariates side using the $\alpha$-transformation
fast.alfa
Fast estimation of the value of $\alpha$
bic.mixcompnorm
Mixture model selection via BIC
ols.compreg
Kullback-Leibler regression
Compositional-package
This is an R package that provides methods for statistical analysis of compositional data
multivreg
Multivariate linear regression
rcompnorm
Multivariate normal random values simulation on the simplex
comp.kerncontour
Contour plot of the kernel density estimate in $S^2$
mixnorm.contour
Contour plot of a Gaussian mixture model in $S^2$
rmvnorm
Multivariate normal random values simulation
rcompt
Multivariate t random values simulation on the simplex
alfa.profile
Estimation of the value of $\alpha$ via the alfa.profile log-likelihood
diri.reg
Dirichlet regression
alfareg.tune
Tuning the value of $\alpha$ in the $\alpha$-regression
mkde.tune_2
Tuning of the bandwidth h of the kernel using the maximum likelihood cross validation
spat.med
Spatial median
pcr
Principal components regression
helm
The Helmert sub-matrix
kl.compreg
Kullback-Leibler regression
rcompsn
Multivariate skew normal random values simulation on the simplex
rmixcomp
Multivariate or univariate regression with compositional data in the covariates side using the $\alpha$-transformation
bivt.contour
Contour plot of the t distribution in $S^2$
mix.compnorm
Gaussian mixture models for compositional data
alfainv
The inverse of the $\alpha$-transformation
norm.contour
Contour plot of the normal distribution in $S^2$
glm.pcr
Principal component generalised linear models
frechet
The Frechet mean
comp.reg
Regression with compositional data
ternary
Ternary diagram
alfa.reg
Regression with compositional data using the $\alpha$-transformation
diri.est
Fiiting a Dirichlet distribution
sscov
Spatial sign covariance matrix
multivt
Multivariate or univariate regression with compositional data in the covariates side using the $\alpha$-transformation