Found the following HTML validation problems:
a.est.html:19:1 (a.est.Rd:3): Warning: <h2> attribute "id" has invalid value "Estimation of the value of alpha in the folded model"
acor.html:19:1 (acor.Rd:3): Warning: <h2> attribute "id" has invalid value "Alpha generalised correlations between two compositional datasets"
acor.tune.html:19:1 (acor.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning of the alpha generalised correlations between two compositional datasets"
aeqdist.etest.html:19:1 (aeqdist.etest.Rd:3): Warning: <h2> attribute "id" has invalid value "Energy test of equality of distributions using the alpha-transformation"
ait.html:19:1 (ait.Rd:3): Warning: <h2> attribute "id" has invalid value "The alpha-IT transformation"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> attribute "and/or" lacks value
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> attribute "matrices'" lacks value
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "s"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "test"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "for"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "two"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "mean"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "vectors"
ait.test.html:19:1 (ait.test.Rd:3): Warning: <h2> proprietary attribute "covariance"
aitdist.html:19:1 (aitdist.Rd:4): Warning: <h2> attribute "id" has invalid value "The alpha-IT-distance"
akern.reg.html:19:1 (akern.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "The alpha-kernel regression with compositional response data"
akernreg.tune.html:19:1 (akernreg.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the alpha-kernel regression with compositional response data"
aknn.reg.html:19:1 (aknn.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "The alpha-k-NN regression for compositional response data"
aknnreg.tune.html:19:1 (aknnreg.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the alpha-k-NN regression with compositional response data"
alfa.html:19:1 (alfa.Rd:4): Warning: <h2> attribute "id" has invalid value "The alpha-transformation"
alfa.contour.html:19:1 (alfa.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the alpha multivariate normal in S^2"
alfa.knn.reg.html:19:1 (alfa.knn.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "The alpha-k-NN regression with compositional predictor variables"
alfa.mds.html:19:1 (alfa.mds.Rd:3): Warning: <h2> attribute "id" has invalid value "Principal coordinate analysis using the alpha-distance"
alfa.mix.norm.html:19:1 (alfa.mix.norm.Rd:3): Warning: <h2> attribute "id" has invalid value "Gaussian mixture models for compositional data using the alpha-transformation"
alfa.nb.html:19:1 (alfa.nb.Rd:3): Warning: <h2> attribute "id" has invalid value "Naive Bayes classifiers for compositional data using the alpha-transformation"
alfa.pca.html:19:1 (alfa.pca.Rd:3): Warning: <h2> attribute "id" has invalid value "Principal component analysis using the alpha-transformation"
alfa.pcr.html:19:1 (alfa.pcr.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate or univariate regression with compositional data in the covariates side using the alpha-transformation"
alfa.profile.html:19:1 (alfa.profile.Rd:3): Warning: <h2> attribute "id" has invalid value "Estimation of the value of alpha via the profile log-likelihood"
alfa.rda.html:19:1 (alfa.rda.Rd:4): Warning: <h2> attribute "id" has invalid value "Regularised and flexible discriminant analysis for compositional data using the alpha-transformation"
alfa.reg.html:19:1 (alfa.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Regression with compositional data using the alpha-transformation"
alfa.ridge.html:19:1 (alfa.ridge.Rd:3): Warning: <h2> attribute "id" has invalid value "Ridge regression with compositional data in the covariates side using the alpha-transformation"
alfa.tune.html:19:1 (alfa.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Fast estimation of the value of alpha"
alfadist.html:19:1 (alfadist.Rd:4): Warning: <h2> attribute "id" has invalid value "The alpha-distance"
alfainv.html:19:1 (alfainv.Rd:3): Warning: <h2> attribute "id" has invalid value "Inverse of the alpha-transformation"
alfaknnreg.tune.html:19:1 (alfaknnreg.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the alpha-k-NN regression with compositional predictor variables"
alfanb.tune.html:19:1 (alfanb.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the naive Bayes classifiers for compositional data using the alpha-transformation"
alfann.html:19:1 (alfann.Rd:3): Warning: <h2> attribute "id" has invalid value "The k-nearest neighbours using the alpha-distance"
alfapcr.tune.html:19:1 (alfapcr.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning the number of PCs in the PCR with compositional data using the alpha-transformation"
alfarda.tune.html:19:1 (alfarda.tune.Rd:4): Warning: <h2> attribute "id" has invalid value "Cross validation for the regularised and flexible discriminant analysis with compositional data using the alpha-transformation"
alfareg.tune.html:19:1 (alfareg.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning the value of alpha in the alpha-regression"
alfaridge.plot.html:19:1 (alfaridge.plot.Rd:3): Warning: <h2> attribute "id" has invalid value "Ridge regression with the alpha-transformation plot"
alfaridge.tune.html:19:1 (alfaridge.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the ridge regression with compositional data as predictor using the alpha-transformation"
alpha.mle.html:19:1 (alpha.mle.Rd:4): Warning: <h2> attribute "id" has invalid value "MLE of the folded model for a given value of alpha"
alr.html:19:1 (alr.Rd:4): Warning: <h2> attribute "id" has invalid value "The additive log-ratio transformation and its inverse"
alr.all.html:19:1 (alr.all.Rd:3): Warning: <h2> attribute "id" has invalid value "All pairwise additive log-ratio transformations"
bc.html:19:1 (bc.Rd:3): Warning: <h2> attribute "id" has invalid value "The Box-Cox transformation applied to ratios of components"
beta.est.html:19:1 (beta.est.Rd:10): Warning: <h2> attribute "id" has invalid value "MLE of distributions defined in the (0, 1) interval"
beta.reg.html:19:1 (beta.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Beta regression"
bic.alfamixnorm.html:19:1 (bic.alfamixnorm.Rd:3): Warning: <h2> attribute "id" has invalid value "Mixture model selection with the alpha-transformation using BIC"
bic.mixcompnorm.html:19:1 (bic.mixcompnorm.Rd:3): Warning: <h2> attribute "id" has invalid value "Mixture model selection via BIC"
bivt.contour.html:19:1 (bivt.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the t distribution in S^2"
choose.pc.html:19:1 (choose.pc.Rd:3): Warning: <h2> attribute "id" has invalid value "Choose the number of principal components via reconstruction error"
colbeta.mle.html:19:1 (colbeta.mle.Rd:7): Warning: <h2> attribute "id" has invalid value "Column-wise MLE of some univariate distributions"
comp.den.html:19:1 (comp.den.Rd:4): Warning: <h2> attribute "id" has invalid value "Estimating location and scatter parameters for compositional data"
comp.kern.html:19:1 (comp.kern.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate kernel density estimation for compositional data"
comp.kerncontour.html:19:1 (comp.kerncontour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the kernel density estimate in S^2"
comp.knn.html:19:1 (comp.knn.Rd:6): Warning: <h2> attribute "id" has invalid value "The k-NN algorithm for compositional data"
comp.nb.html:19:1 (comp.nb.Rd:3): Warning: <h2> attribute "id" has invalid value "Naive Bayes classifiers for compositional data"
comp.ppr.html:19:1 (comp.ppr.Rd:4): Warning: <h2> attribute "id" has invalid value "Projection pursuit regression for compositional data"
comp.reg.html:19:1 (comp.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate regression with compositional data"
comp.test.html:19:1 (comp.test.Rd:3): Warning: <h2> attribute "id" has invalid value "Hypothesis testing for two or more compositional mean vectors"
compbn.html:19:1 (compbn.Rd:3): Warning: <h2> attribute "id" has invalid value "Bayesian network learning with compositional data"
compknn.tune.html:19:1 (compknn.tune.Rd:6): Warning: <h2> attribute "id" has invalid value "Tuning of the k-NN algorithm for compositional data"
compnorm.contour.html:19:1 (compnorm.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the normal distribution in S^2"
compppr.tune.html:19:1 (compppr.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning of the projection pursuit regression for compositional data"
cv.comp.reg.html:19:1 (cv.comp.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for some compositional regression models"
cv.compnb.html:19:1 (cv.compnb.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the naive Bayes classifiers for compositional data"
cv.dda.html:19:1 (cv.dda.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the Dirichlet discriminant analysis"
cv.lasso.compreg.html:19:1 (cv.lasso.compreg.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the LASSO log-ratio regression with compositional response"
cv.lasso.klcompreg.html:19:1 (cv.lasso.klcompreg.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the LASSO Kullback-Leibler divergence based regression"
cv.olscompcomp.html:19:1 (cv.olscompcomp.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the constrained linear least squares for compositional responses and predictors"
cv.tflr.html:19:1 (cv.tflr.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the transformation-free linear regression for compositional responses and predictors"
dda.html:19:1 (dda.Rd:3): Warning: <h2> attribute "id" has invalid value "Dirichlet discriminant analysis"
ddiri.html:19:1 (ddiri.Rd:3): Warning: <h2> attribute "id" has invalid value "Density values of a Dirichlet distribution"
dfd.html:19:1 (dfd.Rd:3): Warning: <h2> attribute "id" has invalid value "Density of the Flexible Dirichlet distribution"
dfolded.html:19:1 (dfolded.Rd:3): Warning: <h2> attribute "id" has invalid value "Density of the folded normal distribution"
dgendiri.html:19:1 (dgendiri.Rd:3): Warning: <h2> attribute "id" has invalid value "Density values of a generalised Dirichlet distribution"
diri.contour.html:19:1 (diri.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the Dirichlet distribution in S^2"
diri.est.html:19:1 (diri.est.Rd:3): Warning: <h2> attribute "id" has invalid value "MLE of the Dirichlet distribution"
diri.nr.html:19:1 (diri.nr.Rd:3): Warning: <h2> attribute "id" has invalid value "MLE of the Dirichlet distribution via Newton-Rapshon"
diri.reg.html:19:1 (diri.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "Dirichlet regression"
dirimean.test.html:19:1 (dirimean.test.Rd:3): Warning: <h2> attribute "id" has invalid value "Log-likelihood ratio test for a Dirichlet mean vector"
divergence.html:19:1 (divergence.Rd:3): Warning: <h2> attribute "id" has invalid value "Divergence matrix of compositional data"
dmix.compnorm.html:19:1 (dmix.compnorm.Rd:3): Warning: <h2> attribute "id" has invalid value "Density of compositional data from Gaussian mixture models"
dmixdiri.html:19:1 (dmixdiri.Rd:3): Warning: <h2> attribute "id" has invalid value "Density values of a mixture of Dirichlet distributions"
eel.test1.html:19:1 (eel.test1.Rd:3): Warning: <h2> attribute "id" has invalid value "Exponential empirical likelihood for a one sample mean vector hypothesis testing"
eel.test2.html:19:1 (eel.test2.Rd:3): Warning: <h2> attribute "id" has invalid value "Exponential empirical likelihood hypothesis testing for two mean vectors"
el.test1.html:19:1 (el.test1.Rd:3): Warning: <h2> attribute "id" has invalid value "Empirical likelihood for a one sample mean vector hypothesis testing"
el.test2.html:19:1 (el.test2.Rd:3): Warning: <h2> attribute "id" has invalid value "Empirical likelihood hypothesis testing for two mean vectors"
esov.html:19:1 (esov.Rd:5): Warning: <h2> attribute "id" has invalid value "The ESOV-distance"
esov.mds.html:19:1 (esov.mds.Rd:3): Warning: <h2> attribute "id" has invalid value "Principal coordinate analysis using the Jensen-Shannon divergence"
fd.contour.html:19:1 (fd.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the Flexible Dirichlet distribution in S^2"
fd.est.html:19:1 (fd.est.Rd:3): Warning: <h2> attribute "id" has invalid value "Fitting a Flexible Dirichlet distribution"
folded.contour.html:19:1 (folded.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the alpha-folded model in S^2"
fp.html:19:1 (fp.Rd:3): Warning: <h2> attribute "id" has invalid value "The folded power transformation"
frechet.html:19:1 (frechet.Rd:3): Warning: <h2> attribute "id" has invalid value "The Frechet mean for compositional data"
frechet2.html:19:1 (frechet2.Rd:3): Warning: <h2> attribute "id" has invalid value "Helper Frechet mean for compositional data"
gendiri.contour.html:19:1 (gendiri.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the generaised Dirichlet distribution in S^2"
glm.pcr.html:19:1 (glm.pcr.Rd:4): Warning: <h2> attribute "id" has invalid value "Principal component generalised linear models"
glmpcr.tune.html:19:1 (glmpcr.tune.Rd:5): Warning: <h2> attribute "id" has invalid value "Tuning the principal components with GLMs"
green.html:19:1 (green.Rd:3): Warning: <h2> attribute "transformation'" lacks value
green.html:19:1 (green.Rd:3): Warning: <h2> proprietary attribute "s"
green.html:19:1 (green.Rd:3): Warning: <h2> proprietary attribute "power"
hd.meantest2.html:19:1 (hd.meantest2.Rd:3): Warning: <h2> attribute "id" has invalid value "Two-sample test of high-dimensional means for compositional data"
helm.html:19:1 (helm.Rd:3): Warning: <h2> attribute "id" has invalid value "The Helmert sub-matrix"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> attribute "1" lacks value
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> attribute "data'" lacks value
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "s"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "multivariate"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "version"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "of"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "the"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "sample"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "t-test"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "for"
hotel1T2.html:19:1 (hotel1T2.Rd:3): Warning: <h2> proprietary attribute "euclidean"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> attribute "2" lacks value
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> attribute "data'" lacks value
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "s"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "multivariate"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "version"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "of"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "the"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "sample"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "t-test"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "for"
hotel2T2.html:19:1 (hotel2T2.Rd:3): Warning: <h2> proprietary attribute "euclidean"
ice.kernreg.html:19:1 (ice.kernreg.Rd:3): Warning: <h2> attribute "id" has invalid value "ICE plot for univariate kernel regression"
ice.pprcomp.html:19:1 (ice.pprcomp.Rd:3): Warning: <h2> attribute "id" has invalid value "ICE plot for projection pursuit regression with compositional predictor variables"
james.html:19:1 (james.Rd:3): Warning: <h2> attribute "id" has invalid value "James multivariate version of the t-test"
kent.contour.html:19:1 (kent.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the Kent distribution in S^2"
kern.reg.html:19:1 (kern.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "Kernel regression with a numerical response vector or matrix"
kernreg.tune.html:19:1 (kernreg.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the kernel regression with Euclidean response data"
kl.alfapcr.html:19:1 (kl.alfapcr.Rd:3): Warning: <h2> attribute "id" has invalid value "Divergence based regression for compositional data with compositional data in the covariates side using the alpha-transformation"
kl.compreg.html:19:1 (kl.compreg.Rd:6): Warning: <h2> attribute "id" has invalid value "Divergence based regression for compositional data"
kl.compreg2.html:19:1 (kl.compreg2.Rd:4): Warning: <h2> attribute "id" has invalid value "Helper functions for the Kullback-Leibler regression"
kl.diri.html:19:1 (kl.diri.Rd:3): Warning: <h2> attribute "id" has invalid value "Kullback-Leibler divergence and Bhattacharyya distance between two Dirichlet distributions"
kl.diri.normal.html:19:1 (kl.diri.normal.Rd:3): Warning: <h2> attribute "id" has invalid value "Minimized Kullback-Leibler divergence between Dirichlet and logistic normal"
klalfapcr.tune.html:19:1 (klalfapcr.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning of the divergence based regression for compositional data with compositional data in the covariates side using the alpha-transformation"
lasso.compreg.html:19:1 (lasso.compreg.Rd:3): Warning: <h2> attribute "id" has invalid value "LASSO log-ratio regression with compositional response"
lasso.klcompreg.html:19:1 (lasso.klcompreg.Rd:3): Warning: <h2> attribute "id" has invalid value "LASSO Kullback-Leibler divergence based regression"
lassocoef.plot.html:19:1 (lassocoef.plot.Rd:3): Warning: <h2> attribute "id" has invalid value "Plot of the LASSO coefficients"
lc.glm.html:19:1 (lc.glm.Rd:3): Warning: <h2> attribute "id" has invalid value "Log-contrast logistic or Poisson regression with compositional predictor variables"
lc.reg.html:19:1 (lc.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Log-contrast regression with compositional predictor variables"
lc.reg2.html:19:1 (lc.reg2.Rd:3): Warning: <h2> attribute "id" has invalid value "Log-contrast regression with multiple compositional predictors"
lcreg.aov.html:19:1 (lcreg.aov.Rd:3): Warning: <h2> attribute "id" has invalid value "ANOVA for the log-contrast regression versus the uncostrained log-contrast regression"
logpca.html:19:1 (logpca.Rd:3): Warning: <h2> attribute "id" has invalid value "Principal component analysis"
makefolds.html:19:1 (makefolds.Rd:3): Warning: <h2> attribute "id" has invalid value "Generate random folds for cross-validation"
maov.html:19:1 (maov.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate analysis of variance"
maovjames.html:19:1 (maovjames.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate analysis of variance (James test)"
mix.compnorm.html:19:1 (mix.compnorm.Rd:3): Warning: <h2> attribute "id" has invalid value "Gaussian mixture models for compositional data"
mix.compnorm.contour.html:19:1 (mix.compnorm.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the Gaussian mixture model in S^2"
mixdiri.contour.html:19:1 (mixdiri.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of mixtures of Dirichlet distributions in S^2"
mkde.html:19:1 (mkde.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate kernel density estimation"
mkde.tune.html:19:1 (mkde.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning of the bandwidth h of the kernel using the maximum likelihood cross validation"
mlr.html:19:1 (mlr.Rd:4): Warning: <h2> attribute "id" has invalid value "The multiplicative log-ratio transformation and its inverse"
multivreg.html:19:1 (multivreg.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate linear regression"
multivt.html:19:1 (multivt.Rd:3): Warning: <h2> attribute "id" has invalid value "MLE for the multivariate t distribution"
ols.compcomp.html:19:1 (ols.compcomp.Rd:3): Warning: <h2> attribute "id" has invalid value "Constrained linear least squares for compositional responses and predictors"
ols.compreg.html:19:1 (ols.compreg.Rd:3): Warning: <h2> attribute "id" has invalid value "Non linear least squares regression for compositional data"
ols.prop.reg.html:19:1 (ols.prop.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "Distance based regression models for proportions"
pcc.html:19:1 (pcc.Rd:3): Warning: <h2> attribute "id" has invalid value "Proportionality correlation coefficient matrix"
perturbation.html:19:1 (perturbation.Rd:3): Warning: <h2> attribute "id" has invalid value "Perturbation operation"
pivot.html:19:1 (pivot.Rd:4): Warning: <h2> attribute "id" has invalid value "The pivot coordinate transformation and its inverse"
pow.html:19:1 (pow.Rd:3): Warning: <h2> attribute "id" has invalid value "Power operation"
pprcomp.html:19:1 (pprcomp.Rd:3): Warning: <h2> attribute "id" has invalid value "Projection pursuit regression with compositional predictor variables"
pprcomp.tune.html:19:1 (pprcomp.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning of the projection pursuit regression with compositional predictor variables"
probout.html:19:1 (probout.Rd:3): Warning: <h2> attribute "id" has invalid value "Estimation of the probability left outside the simplex when using the alpha-transformation"
propreg.html:19:1 (propreg.Rd:4): Warning: <h2> attribute "id" has invalid value "Quasi binomial regression for proportions"
rbeta1.html:19:1 (rbeta1.Rd:5): Warning: <h2> attribute "id" has invalid value "Random values generation from some univariate distributions defined on the (0,1) interval"
rcompnorm.html:19:1 (rcompnorm.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate normal random values simulation on the simplex"
rcompsn.html:19:1 (rcompsn.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate skew normal random values simulation on the simplex"
rcompt.html:19:1 (rcompt.Rd:3): Warning: <h2> attribute "id" has invalid value "Multivariate t random values simulation on the simplex"
rda.html:19:1 (rda.Rd:3): Warning: <h2> attribute "id" has invalid value "Regularised discriminant analysis for Euclidean data"
rda.tune.html:19:1 (rda.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Tuning the parameters of the regularised discriminant analysis"
rdiri.html:19:1 (rdiri.Rd:3): Warning: <h2> attribute "id" has invalid value "Dirichlet random values simulation"
rfd.html:19:1 (rfd.Rd:3): Warning: <h2> attribute "id" has invalid value "Simulation of compositional data from the Flexible Dirichlet distribution"
rfolded.html:19:1 (rfolded.Rd:3): Warning: <h2> attribute "id" has invalid value "Simulation of compositional data from the folded normal distribution"
rgendiri.html:19:1 (rgendiri.Rd:3): Warning: <h2> attribute "id" has invalid value "Generalised Dirichlet random values simulation"
ridge.plot.html:19:1 (ridge.plot.Rd:3): Warning: <h2> attribute "id" has invalid value "Ridge regression plot"
ridge.reg.html:19:1 (ridge.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Ridge regression"
ridge.tune.html:19:1 (ridge.tune.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross validation for the ridge regression"
rmixcomp.html:19:1 (rmixcomp.Rd:3): Warning: <h2> attribute "id" has invalid value "Simulation of compositional data from Gaussian mixture models"
rmixdiri.html:19:1 (rmixdiri.Rd:3): Warning: <h2> attribute "id" has invalid value "Simulation of compositional data from mixtures of Dirichlet distributions"
skewnorm.contour.html:19:1 (skewnorm.contour.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plot of the skew skew-normal distribution in S^2"
spatmed.reg.html:19:1 (spatmed.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Spatial median regression"
sym.test.html:19:1 (sym.test.Rd:3): Warning: <h2> attribute "id" has invalid value "Log-likelihood ratio test for a symmetric Dirichlet distribution"
ternary.html:19:1 (ternary.Rd:4): Warning: <h2> attribute "id" has invalid value "Ternary diagram"
ternary.reg.html:19:1 (ternary.reg.Rd:4): Warning: <h2> attribute "id" has invalid value "Ternary diagram of regression models"
tflr.html:19:1 (tflr.Rd:3): Warning: <h2> attribute "id" has invalid value "Transformation-free linear regression for compositional responses and predictors"
totvar.html:19:1 (totvar.Rd:3): Warning: <h2> attribute "id" has invalid value "Total variability"
ulc.glm.html:19:1 (ulc.glm.Rd:3): Warning: <h2> attribute "id" has invalid value "Unconstrained log-contrast logistic or Poisson regression with compositional predictor variables"
ulc.reg.html:19:1 (ulc.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Unconstrained log-contrast regression with compositional predictor variables"
ulc.reg2.html:19:1 (ulc.reg2.Rd:3): Warning: <h2> attribute "id" has invalid value "Unconstrained log-contrast regression with multiple compositional predictors"
unitweib.reg.html:19:1 (unitweib.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Unit-Weibull regression models for proportions"
zad.est.html:19:1 (zad.est.Rd:3): Warning: <h2> attribute "id" has invalid value "MLE of the zero adjusted Dirichlet distribution"
zadr.html:19:1 (zadr.Rd:4): Warning: <h2> attribute "id" has invalid value "Zero adjusted Dirichlet regression"
zeroreplace.html:19:1 (zeroreplace.Rd:3): Warning: <h2> attribute "id" has invalid value "Non-parametric zero replacement strategies"