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Compositional (version 1.1)
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
1.1
License
GPL (>= 2)
Maintainer
Michail Tsagris
Last Published
February 16th, 2016
Functions in Compositional (1.1)
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bivt.contour
Contour plot of the t distribution in $S^2$
mix.compnorm
Gaussian mixture models for compositional data
frechet
The Frechet mean
diri.nr
Fiiting a Dirichlet distribution via Newton-Rapshon
Compositional-package
This is an R package that provides methods for statistical analysis of compositional data
alfaridge.tune
Cross validation for the ridge regression with compositional data as predictor using the $\alpha$-transformation
glmpcr.tune
Tuning the principal components in the GLM
mkde
Multivariate kernel density estimation
alfadist
The $\alpha$-distance
pcr
Principal components regression
diri.est
Fiiting a Dirichlet distribution
alfaridge.plot
Ridge regression plot
alfa.ridge
Ridge regression with compositional data in the covariates side using the $\alpha$-transformation
kl.diri
Kullback-Leibler divergence and Bhattacharyya distance between two Dirichlet distributions
comp.reg
Regression with compositional data
rcompnorm
Multivariate normal random values simulation on the simplex
alfareg.tune
Tuning the value of $\alpha$ in the $\alpha$-regression
rmixcomp
Simulation of compositional data from Gaussian mixture models
alfa.pcr
Multivariate or univariate regression with compositional data in the covariates side using the $\alpha$-transformation
comp.kerncontour
Contour plot of the kernel density estimate in $S^2$
diri.reg
Dirichlet regression
rmvt
Multivariate t random values simulation
pcr.tune
Tuning of the principal components regression
glm.pcr
Principal component generalised linear models
sym.test
Log-likelihood ratio test for a symmetric Dirichlet distribution
esov.compreg
ESOV regression
rmvnorm
Multivariate normal random values simulation
ridge.reg
Ridge regression
kl.compreg
Kullback-Leibler regression
spatmed.reg
Spatial median regression
fast.alfa
Fast estimation of the value of $\alpha$
spat.med
Spatial median
alfainv
The inverse of the $\alpha$-transformation
rdiri
Dirichlet random values simulation
rcompt
Multivariate t random values simulation on the simplex
rcompsn
Multivariate skew normal random values simulation on the simplex
mkde.tune_2
Tuning of the bandwidth h of the kernel using the maximum likelihood cross validation
bic.mixcompnorm
Mixture model selection via BIC
alfapcr.tune
Tuning the number of PCs in the PCR with compositional data using the $\alpha$-transformation
ridge.tune
Cross validation for the ridge regression
ternary
Ternary diagram
sscov
Spatial sign covariance matrix
alfa.reg
Regression with compositional data using the $\alpha$-transformation
norm.contour
Contour plot of the normal distribution in $S^2$
ols.compreg
Non linear least squares regression
multivreg
Multivariate linear regression
alfa
The $\alpha$-transformation
skewnorm.contour
Contour plot of the skew skewnormal distribution in $S^2$
multivt
MLE for the multivarite t distribution
comp.den
Estimating location and scatter parameters
mixnorm.contour
Contour plot of a Gaussian mixture model in $S^2$
ridge.plot
Ridge regression plot
alfa.profile
Estimation of the value of $\alpha$ via the alfa.profile log-likelihood
diri.contour
Contour plot of a Dirichlet distribution in $S^2$
helm
The Helmert sub-matrix