Found the following HTML validation problems:
Merge.html:19:1 (Merge.Rd:3): Warning: <h2> attribute "id" has invalid value "Merge 2 sorted vectors in 1 sorted vector"
Quantile.html:19:1 (Quantile.Rd:7): Warning: <h2> attribute "id" has invalid value "Sample quantiles and col/row wise quantiles"
Runif.html:19:1 (Runif.Rd:3): Warning: <h2> attribute "id" has invalid value "Random values simulation from the uniform distribution"
Sample.int.html:19:1 (Sample.int.Rd:4): Warning: <h2> attribute "id" has invalid value "Random integer values simulation"
add.term.html:19:1 (add.term.Rd:3): Warning: <h2> attribute "id" has invalid value "Add many single terms to a model"
benchmark.html:19:1 (benchmark.Rd:4): Warning: <h2> attribute "id" has invalid value "Benchmark - Measure time"
bernoulli.nb.html:19:1 (bernoulli.nb.Rd:4): Warning: <h2> attribute "id" has invalid value "Naive Bayes classifier for binary (Bernoulli) data"
bernoullinb.pred.html:19:1 (bernoullinb.pred.Rd:4): Warning: <h2> attribute "id" has invalid value "Prediction with naive Bayes classifier for binary (Bernoulli) data"
bic.regs.html:19:1 (bic.regs.Rd:3): Warning: <h2> attribute "id" has invalid value "BIC of many simple univariate regressions"
big.knn.html:19:1 (big.knn.Rd:3): Warning: <h2> attribute "id" has invalid value "The k-NN algorithm for really lage scale data"
bigknn.cv.html:19:1 (bigknn.cv.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the k-NN algorithm for really lage scale data"
binom.reg.html:19:1 (binom.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Binomial regression"
boot.james.html:19:1 (boot.james.Rd:4): Warning: <h2> attribute "id" has invalid value "Bootstrap James and Hotelling test for 2 independent sample mean vectors"
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> attribute "2" lacks value
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> attribute "samples'" lacks value
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> attribute "id" has invalid value "Bootstrap Student"
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> proprietary attribute "s"
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> proprietary attribute "t-test"
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> proprietary attribute "for"
boot.student2.html:19:1 (boot.student2.Rd:3): Warning: <h2> proprietary attribute "independent"
boot.ttest1.html:19:1 (boot.ttest1.Rd:3): Warning: <h2> attribute "id" has invalid value "One sample bootstrap t-test for a vector"
cauchy0.mle.html:19:1 (cauchy0.mle.Rd:4): Warning: <h2> attribute "id" has invalid value "MLE of the Cauchy and generalised normal distributions with zero location"
censpois.mle.html:19:1 (censpois.mle.Rd:3): Warning: <h2> attribute "id" has invalid value "MLE of the left censored Poisson distribution"
censweib.reg.html:19:1 (censweib.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Censored Weibull regression model"
censweibull.mle.html:19:1 (censweibull.mle.Rd:4): Warning: <h2> attribute "id" has invalid value "MLE of the censored Weibull distribution"
circ.cor1.html:19:1 (circ.cor1.Rd:5): Warning: <h2> attribute "id" has invalid value "Circurlar correlations between two circular variables"
cls.html:19:1 (cls.Rd:3): Warning: <h2> attribute "id" has invalid value "Constrained least squares"
cluster.lm.html:19:1 (cluster.lm.Rd:3): Warning: <h2> attribute "id" has invalid value "Linear regression with clustered data"
colGroup.html:19:1 (colGroup.Rd:3): Warning: <h2> attribute "id" has invalid value "Column-wise summary statistics with grouping variables"
colaccs.html:19:1 (colaccs.Rd:9): Warning: <h2> attribute "id" has invalid value "Many binary classification metrics"
coljack.means.html:19:1 (coljack.means.Rd:4): Warning: <h2> attribute "id" has invalid value "Column and row-wise jackknife sample means"
collognorm.mle.html:19:1 (collognorm.mle.Rd:11): Warning: <h2> attribute "id" has invalid value "Column-wise MLE of some univariate distributions"
colmeansvars.html:19:1 (colmeansvars.Rd:3): Warning: <h2> attribute "id" has invalid value "Column-wise means and variances"
colmses.html:19:1 (colmses.Rd:6): Warning: <h2> attribute "id" has invalid value "Many metrics for a continuous response variable"
colspml.mle.html:19:1 (colspml.mle.Rd:3): Warning: <h2> attribute "id" has invalid value "Column-wise MLE of the angular Gaussian distribution"
cor_test.html:19:1 (cor_test.Rd:3): Warning: <h2> attribute "z-transformation'" lacks value
cor_test.html:19:1 (cor_test.Rd:3): Warning: <h2> attribute "id" has invalid value "Correlation significance testing using Fisher"
cor_test.html:19:1 (cor_test.Rd:3): Warning: <h2> proprietary attribute "s"
covar.html:19:1 (covar.Rd:4): Warning: <h2> attribute "id" has invalid value "Covariance between a variable and a matrix of variables"
covdist.html:19:1 (covdist.Rd:4): Warning: <h2> attribute "id" has invalid value "Distance between two covariance matrices"
covequal.html:19:1 (covequal.Rd:4): Warning: <h2> attribute "id" has invalid value "Hypothesis tests for equality of a covariance matrix"
covlikel.html:19:1 (covlikel.Rd:5): Warning: <h2> attribute "id" has invalid value "Hypothesis tests for equality of multiple covariance matrices"
dcora.html:19:1 (dcora.Rd:3): Warning: <h2> attribute "id" has invalid value "Distance correlation matrix"
den.contours.html:19:1 (den.contours.Rd:3): Warning: <h2> attribute "id" has invalid value "Contour plots of some bivariate distributions"
depth.mahala.html:19:1 (depth.mahala.Rd:3): Warning: <h2> attribute "id" has invalid value "Mahalanobis depth"
diffic.html:19:1 (diffic.Rd:5): Warning: <h2> attribute "id" has invalid value "Item difficulty and discrimination"
empirical.entropy.html:19:1 (empirical.entropy.Rd:3): Warning: <h2> attribute "id" has invalid value "Empirical entropy"
fbed.reg.html:19:1 (fbed.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Forward Backward Early Dropping selection regression"
fe.lmfit.html:19:1 (fe.lmfit.Rd:3): Warning: <h2> attribute "id" has invalid value "Fixed effects regression"
fedhc.skel.html:19:1 (fedhc.skel.Rd:3): Warning: <h2> attribute "id" has invalid value "Skeleton of the FEDHC algorithm"
fipois.reg.html:19:1 (fipois.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Fixed intercepts Poisson regression"
fisher.da.html:19:1 (fisher.da.Rd:4): Warning: <h2> attribute "analysis'" lacks value
fisher.da.html:19:1 (fisher.da.Rd:4): Warning: <h2> proprietary attribute "s"
fisher.da.html:19:1 (fisher.da.Rd:4): Warning: <h2> proprietary attribute "linear"
fisher.da.html:19:1 (fisher.da.Rd:4): Warning: <h2> proprietary attribute "discriminant"
fp.html:19:1 (fp.Rd:3): Warning: <h2> attribute "id" has invalid value "Fractional polynomial regression with one independent variable"
gammapois.mle.html:19:1 (gammapois.mle.Rd:4): Warning: <h2> attribute "id" has invalid value "MLE of the gamma-Poisson distribution"
gammareg.html:19:1 (gammareg.Rd:3): Warning: <h2> attribute "id" has invalid value "Gamma regression with a log-link"
gammaregs.html:19:1 (gammaregs.Rd:3): Warning: <h2> attribute "id" has invalid value "Many Gamma regressions"
gee.reg.html:19:1 (gee.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "GEE Gaussian regression"
gumbel.reg.html:19:1 (gumbel.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Gumbel regression"
halfcauchy.mle.html:19:1 (halfcauchy.mle.Rd:5): Warning: <h2> attribute "id" has invalid value "MLE of continuous univariate distributions defined on the positive line"
hcf.circaov.html:19:1 (hcf.circaov.Rd:7): Warning: <h2> attribute "id" has invalid value "Anova for circular data"
hellinger.countreg.html:19:1 (hellinger.countreg.Rd:3): Warning: <h2> attribute "id" has invalid value "Hellinger distance based regression for count data"
het.lmfit.html:19:1 (het.lmfit.Rd:3): Warning: <h2> attribute "id" has invalid value "Heteroscedastic linear models for large scale data"
hp.reg.html:19:1 (hp.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Hurdle-Poisson regression"
is.lower.tri.html:19:1 (is.lower.tri.Rd:4): Warning: <h2> attribute "id" has invalid value "Check if a matrix is Lower or Upper triangular"
is.skew.symmetric.html:19:1 (is.skew.symmetric.Rd:3): Warning: <h2> attribute "id" has invalid value "Check whether a square matrix is skew-symmetric"
jack.mean.html:19:1 (jack.mean.Rd:3): Warning: <h2> attribute "id" has invalid value "Jackknife sample mean"
km.html:19:1 (km.Rd:4): Warning: <h2> attribute "id" has invalid value "Kaplan-Meier estimate of a survival function"
kumar.mle.html:19:1 (kumar.mle.Rd:8): Warning: <h2> attribute "id" has invalid value "MLE of distributions defined for proportions"
leverage.html:19:1 (leverage.Rd:3): Warning: <h2> attribute "id" has invalid value "Diagonal values of the Hat matrix"
lm.bsreg.html:19:1 (lm.bsreg.Rd:3): Warning: <h2> attribute "id" has invalid value "Backward selection with the F test or the partial correlation coefficient"
lm.drop1.html:19:1 (lm.drop1.Rd:3): Warning: <h2> attribute "id" has invalid value "Single terms deletion hypothesis testing in a linear regression model"
lm.parboot.html:19:1 (lm.parboot.Rd:3): Warning: <h2> attribute "id" has invalid value "Parametric bootstrap for linear regression model"
logiquant.regs.html:19:1 (logiquant.regs.Rd:3): Warning: <h2> attribute "id" has invalid value "Many simple quantile regressions using logistic regressions"
lud.html:19:1 (lud.Rd:3): Warning: <h2> attribute "id" has invalid value "Split the matrix in lower, upper triangular and diagonal"
mci.html:19:1 (mci.Rd:3): Warning: <h2> attribute "id" has invalid value "Monte Carlo integration with a normal distribution"
mle.lda.html:19:1 (mle.lda.Rd:4): Warning: <h2> attribute "id" has invalid value "Maximum likelihood linear discriminant analysis"
mmhc.skel.html:19:1 (mmhc.skel.Rd:3): Warning: <h2> attribute "id" has invalid value "Skeleton of the MMHC algorithm"
mmpc.html:19:1 (mmpc.Rd:3): Warning: <h2> attribute "id" has invalid value "Max-Min Parents and Children variable selection algorithm for continuous responses"
mmpc2.html:19:1 (mmpc2.Rd:3): Warning: <h2> attribute "id" has invalid value "Max-Min Parents and Children variable selection algorithm for non continuous responses"
moranI.html:19:1 (moranI.Rd:3): Warning: <h2> attribute "autocorrelation'" lacks value
moranI.html:19:1 (moranI.Rd:3): Warning: <h2> proprietary attribute "s"
moranI.html:19:1 (moranI.Rd:3): Warning: <h2> proprietary attribute "i"
moranI.html:19:1 (moranI.Rd:3): Warning: <h2> proprietary attribute "measure"
moranI.html:19:1 (moranI.Rd:3): Warning: <h2> proprietary attribute "of"
moranI.html:19:1 (moranI.Rd:3): Warning: <h2> proprietary attribute "spatial"
multinom.reg.html:19:1 (multinom.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Multinomial regression"
multinomreg.cv.html:19:1 (multinomreg.cv.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the multinomial regression"
multivm.mle.html:19:1 (multivm.mle.Rd:5): Warning: <h2> attribute "id" has invalid value "MLE of some circular distributions with multiple samples"
mv.score.glms.html:19:1 (mv.score.glms.Rd:8): Warning: <h2> attribute "id" has invalid value "Many score based regressions with muliple response variables and a single predictor variable"
nb.cv.html:19:1 (nb.cv.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the naive Bayes classifiers"
negbin.reg.html:19:1 (negbin.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Negative binomial regression"
negbin.regs.html:19:1 (negbin.regs.Rd:3): Warning: <h2> attribute "id" has invalid value "Many negative binomial regressions"
omp2.html:19:1 (omp2.Rd:3): Warning: <h2> attribute "id" has invalid value "Orthogonal matching pursuit variable selection"
overdispreg.test.html:19:1 (overdispreg.test.Rd:3): Warning: <h2> attribute "id" has invalid value "Score test for overdispersion in Poisson regression"
pc.sel.html:19:1 (pc.sel.Rd:4): Warning: <h2> attribute "id" has invalid value "Variable selection using the PC-simple algorithm"
pca.html:19:1 (pca.Rd:3): Warning: <h2> attribute "id" has invalid value "Principal component analysis"
pcr.html:19:1 (pcr.Rd:3): Warning: <h2> attribute "id" has invalid value "Principal components regression"
perm.ttest2.html:19:1 (perm.ttest2.Rd:3): Warning: <h2> attribute "id" has invalid value "Permutation t-test for 2 independent samples"
pinar1.html:19:1 (pinar1.Rd:4): Warning: <h2> attribute "id" has invalid value "Conditional least-squares estimate for Poisson INAR(1) models"
pooled.colVars.html:19:1 (pooled.colVars.Rd:3): Warning: <h2> attribute "id" has invalid value "Column-wise pooled variances across groups"
propjs.reg.html:19:1 (propjs.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Hellinger distance based univariate regression for proportions"
propols.reg.html:19:1 (propols.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Non linear least squares regression for percentages or proportions"
purka.mle.html:19:1 (purka.mle.Rd:4): Warning: <h2> attribute "id" has invalid value "MLE of the Purkayastha distribution"
rbeta1.html:19:1 (rbeta1.Rd:3): Warning: <h2> attribute "id" has invalid value "Random values generation from a Be(a, 1) distribution"
refmeta.html:19:1 (refmeta.Rd:3): Warning: <h2> attribute "id" has invalid value "Random effects meta analysis"
reg.mle.lda.html:19:1 (reg.mle.lda.Rd:4): Warning: <h2> attribute "id" has invalid value "Regularised maximum likelihood linear discriminant analysis"
regmlelda.cv.html:19:1 (regmlelda.cv.Rd:3): Warning: <h2> attribute "id" has invalid value "Cross-validation for the regularised maximum likelihood linear discriminant analysis"
riag.html:19:1 (riag.Rd:3): Warning: <h2> attribute "id" has invalid value "Angular Gaussian random values simulation"
rm.hotel.html:19:1 (rm.hotel.Rd:3): Warning: <h2> attribute "test'" lacks value
rm.hotel.html:19:1 (rm.hotel.Rd:3): Warning: <h2> attribute "id" has invalid value "Repeated measures ANOVA (univariate data) using Hotelling"
rm.hotel.html:19:1 (rm.hotel.Rd:3): Warning: <h2> proprietary attribute "s"
rm.hotel.html:19:1 (rm.hotel.Rd:3): Warning: <h2> proprietary attribute "t2"
sclr.html:19:1 (sclr.Rd:3): Warning: <h2> attribute "id" has invalid value "Scaled logistic regression"
score.zipregs.html:19:1 (score.zipregs.Rd:3): Warning: <h2> attribute "id" has invalid value "Many score based zero inflated Poisson regressions"
sp.logiregs.html:19:1 (sp.logiregs.Rd:3): Warning: <h2> attribute "id" has invalid value "Many approximate simple logistic regressions"
stud.ttests.html:19:1 (stud.ttests.Rd:3): Warning: <h2> attribute "t-tests'" lacks value
stud.ttests.html:19:1 (stud.ttests.Rd:3): Warning: <h2> attribute "id" has invalid value "Many 2 sample student"
stud.ttests.html:19:1 (stud.ttests.Rd:3): Warning: <h2> proprietary attribute "s"
tobit.reg.html:19:1 (tobit.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Tobit regression"
trim.mean.html:19:1 (trim.mean.Rd:8): Warning: <h2> attribute "id" has invalid value "Trimmed mean"
trunccauchy.mle.html:19:1 (trunccauchy.mle.Rd:5): Warning: <h2> attribute "id" has invalid value "MLE of some truncated distributions"
vm.nb.html:19:1 (vm.nb.Rd:5): Warning: <h2> attribute "id" has invalid value "Naive Bayes classifiers for circular data"
vmnb.pred.html:19:1 (vmnb.pred.Rd:5): Warning: <h2> attribute "id" has invalid value "Prediction with some naive Bayes classifiers for circular data"
wald.poisrat.html:19:1 (wald.poisrat.Rd:4): Warning: <h2> attribute "id" has invalid value "Wald confidence interval for the ratio of two Poisson variables"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> attribute "(and" lacks value
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> attribute "risk)'" lacks value
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> dropping value "NULL" for repeated attribute "the"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "s"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "confidence"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "interval"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "for"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "ratio"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "of"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "two"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "binomial"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "variables"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "the"
walter.ci.html:19:1 (walter.ci.Rd:4): Warning: <h2> proprietary attribute "relative"
weib.regs.html:19:1 (weib.regs.Rd:3): Warning: <h2> attribute "id" has invalid value "Many simple Weibull regressions"
weibull.nb.html:19:1 (weibull.nb.Rd:9): Warning: <h2> attribute "id" has invalid value "Naive Bayes classifiers"
weibullnb.pred.html:19:1 (weibullnb.pred.Rd:9): Warning: <h2> attribute "id" has invalid value "Prediction with some naive Bayes classifiers"
welch.tests.html:19:1 (welch.tests.Rd:3): Warning: <h2> attribute "id" has invalid value "Many Welch tests"
zigamma.mle.html:19:1 (zigamma.mle.Rd:5): Warning: <h2> attribute "id" has invalid value "MLE of the zero inflated Gamma and Weibull distributions"
zigamma.reg.html:19:1 (zigamma.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Zero inflated Gamma regression"
ztp.reg.html:19:1 (ztp.reg.Rd:3): Warning: <h2> attribute "id" has invalid value "Zero truncated Poisson regression"