a.est |
Estimation of the value of alpha in the folded model |
a.mle |
MLE of the folded model for a given value of alpha |
acor |
Alpha generalised correlations between two compositional datasets |
acor.tune |
Tuning of the alpha generalised correlations between two compositional datasets |
aknn.reg |
The alpha-k-NN regression for compositional response data |
aknnreg.tune |
Cross validation for the alpha-k-NN regression for compositional response data |
alef |
The alpha-transformation |
alfa |
The alpha-transformation |
alfa.fda |
Regularised and flexible discriminant analysis for compositional data using the alpha-transformation |
alfa.knn |
The k-NN algorithm for compositional data |
alfa.knn.reg |
The alpha-k-NN regression with compositional predictor variables |
alfa.pcr |
Multivariate or univariate regression with compositional data in the covariates side using the alpha-transformation |
alfa.profile |
Estimation of the value of alpha via the alfa profile log-likelihood |
alfa.rda |
Regularised and flexible discriminant analysis for compositional data using the alpha-transformation |
alfa.reg |
Regression with compositional data using the alpha-transformation |
alfa.ridge |
Ridge regression with compositional data in the covariates side using the alpha-transformation |
alfa.tune |
Fast estimation of the value of alpha |
alfadist |
The alpha-distance |
alfadista |
The alpha-distance |
alfafda.tune |
Cross validation for the regularised and flexible discriminant analysis with compositional data using the alpha-transformation |
alfainv |
Inverse of the alpha-transformation |
alfaknn.tune |
Tuning of the k-NN algorithm for compositional data |
alfaknnreg.tune |
Cross validation for the alpha-k-NN regression with compositional predictor variables |
alfann |
The k-nearest neighbours using the alpha-distance |
alfapcr.tune |
Tuning the number of PCs in the PCR with compositional data using the alpha-transformation |
alfarda.tune |
Cross validation for the regularised and flexible discriminant analysis with compositional data using the alpha-transformation |
alfareg.tune |
Tuning the value of alpha in the alpha-regression |
alfaridge.plot |
Ridge regression plot |
alfaridge.tune |
Cross validation for the ridge regression with compositional data as predictor using the alpha-transformation |
alpha.mle |
MLE of the folded model for a given value of alpha |
alr |
The additive log-ratio transformation and its inverse |
alr.all |
All pairwise additive log-ratio transformations |
alrinv |
The additive log-ratio transformation and its inverse |
choose.pc |
Choose the number of principal components via reconstruction error |
comp.den |
Estimating location and scatter parameters for compositional data |
comp.kerncontour |
Contour plot of the kernel density estimate in S^2 |
comp.knn |
The k-NN algorithm for compositional data |
comp.ppr |
Projection pursuit regression for compositional data |
comp.reg |
Multivariate regression with compositional data |
comp.test |
Hypothesis testing for two or more compositional mean vectors |
compknn.tune |
Tuning of the k-NN algorithm for compositional data |
compppr.tune |
Tuning of the projection pursuit regression for compositional data |
cv.comp.reg |
Cross validation for some compositional regression models |
cv.tflr |
Cross validation for the transformation-free linear regression for compositional responses and predictors |
makefolds |
Generate random folds for cross-validation |
maov |
Multivariate analysis of variance |
maovjames |
Multivariate analysis of variance (James test) |
mix.compnorm |
Gaussian mixture models for compositional data |
mixnorm.contour |
Contour plot of a Gaussian mixture model in S^2 |
mixreg |
Zero adjusted Dirichlet regression |
mkde |
Multivariate kernel density estimation |
mkde.tune |
Tuning of the bandwidth h of the kernel using the maximum likelihood cross validation |
multinompcr.tune |
Tuning the principal components with GLMs |
multivreg |
Multivariate linear regression |
multivt |
MLE for the multivarite t distribution |
rcompnorm |
Multivariate normal random values simulation on the simplex |
rcompsn |
Multivariate skew normal random values simulation on the simplex |
rcompt |
Multivariate t random values simulation on the simplex |
rda |
Regularised discriminant analysis for Euclidean data |
rda.tune |
Tuning the parameters of the regularised discriminant analysis |
rdiri |
Dirichlet random values simulation |
rfd |
Simulation of compositional data from the Flexible Dirichlet distribution |
rfolded |
Simulation of compositional data from the folded model normal distribution |
ridge.plot |
Ridge regression plot |
ridge.reg |
Ridge regression |
ridge.tune |
Cross validation for the ridge regression |
rmixcomp |
Simulation of compositional data from Gaussian mixture models |