appendtofolderh         Adds a data frame to a 'folderh'.
as.data.frame.folder    Folder to data frame
as.data.frame.folderh   Hierarchic folder to data frame
as.data.frame.foldert   foldert to data frame
as.folder               Coerce to a folder
as.folder.data.frame    Data frame to folder
as.folder.folderh       Hierarchic folder to folder
as.folderh              Coerce to a folderh
as.folderh.foldermtg    Build a hierarchic folder from an object of
                        class foldermtg
as.foldert              Coerce to a foldert
as.foldert.array        Data frame to foldert
as.foldert.data.frame   Data frame to foldert
bandwidth.parameter     Parameter of the normal reference rule
castles                 Alsacian castles by year of building
castles.dated           Dated Alsacian castles
castles.nondated        Non dated Alsacian castles
cor.folder              Correlation matrices of a folder of data sets
cramer.data.frame       Association measures between several
                        categorical variables of a data frame
cramer.folder           Association measures between categorical
                        variables of the data frames of a folder
cut.data.frame          Change numeric variables into factors
cut.folder              In a folder: change numeric variables into
                        factors
dad-package             Three-Way Data Analysis Through Densities
ddchisqsym              Distance between probability distributions of
                        discrete variables given samples
ddchisqsympar           Distance between discrete probability
                        distributions given the probabilities on their
                        common support
ddhellinger             Distance between probability distributions of
                        discrete variables given samples
ddhellingerpar          Distance between discrete probability
                        distributions given the probabilities on their
                        common support
ddjeffreys              Divergence between probability distributions of
                        discrete variables given samples
ddjeffreyspar           Distance between discrete probability
                        distributions given the probabilities on their
                        common support
ddjensen                Divergence between probability distributions of
                        discrete variables given samples
ddjensenpar             Divergence between discrete probability
                        distributions given the probabilities on their
                        common support
ddlp                    Distance between probability distributions of
                        discrete variables given samples
ddlppar                 Distance between discrete probability
                        distributions given the probabilities on their
                        common support
departments             French departments and regions
discdd.misclass         Misclassification ratio in functional
                        discriminant analysis of discrete probability
                        distributions.
discdd.predict          Predicting the class of a group of individuals
                        with discriminant analysis of probability
                        distributions.
distl2d                 L^2 distance between probability densities
distl2dnorm             L^2 distance between L^2-normed probability
                        densities
distl2dnormpar          L^2 distance between L^2-normed Gaussian
                        densities given their parameters
distl2dpar              L^2 distance between Gaussian densities given
                        their parameters
dspg                    Diploma x Socio professional group
dspgd2015               Diploma x Socio professional group by
                        departement in 2015
dstatis.inter           Dual STATIS method (interstructure stage)
fdiscd.misclass         Misclassification ratio in functional
                        discriminant analysis of probability densities.
fdiscd.predict          Predicting the class of a group of individuals
                        with discriminant analysis of probability
                        densities.
fhclustd                Hierarchic cluster analysis of probability
                        densities
floribundity            Rose flowering
fmdsd                   Multidimensional scaling of probability
                        densities
folder                  Folder of data sets
folderh                 Hierarchic folder of n data frames related in
                        pairs by (n-1) keys
foldermtg               foldermtg
foldert                 Folder of data sets among time
fpcad                   Functional PCA of probability densities
fpcat                   Functional PCA of probability densities among
                        time
getcol.folder           Select columns in all elements of a folder
getcol.foldert          Select columns in all elements of a foldert
getrow.folder           Select rows in all elements of a folder
getrow.foldert          Select rows in all elements of a foldert
hclustdd                Hierarchic cluster analysis of discrete
                        probability distributions
hellinger               Hellinger distance between Gaussian densities
hellingerpar            Hellinger distance between Gaussian densities
                        given their parameters
interpret               Scores of 'fmdsd', 'dstatis', 'fpcad', or
                        'fpcat' vs. moments, or scores of 'mdsdd' vs.
                        marginal distributions or association measures
interpret.dstatis       Scores of the 'dstatis' function vs. moments of
                        the densities
interpret.fmdsd         Scores of the 'fmdsd' function vs. moments of
                        the densities
interpret.fpcad         Scores of the 'fpcad' function vs. moments of
                        the densities
interpret.fpcat         Scores of the '"fpcat"' function vs. moments of
                        the densities
interpret.mdsdd         Scores of the 'mdsdd' function vs. marginal
                        probability distributions or association
                        measures
is.discdd.misclass      Class 'discdd.misclass'
is.discdd.predict       Class 'discdd.predict'
is.dstatis              Class 'dstatis'
is.fdiscd.misclass      Class 'fdiscd.misclass'
is.fdiscd.predict       Class 'fdiscd.predict'
is.fhclustd             Class 'fhclustd'
is.fmdsd                Class 'fmdsd'
is.folder               Class 'folder'
is.folderh              Class 'folderh'
is.foldermtg            Class 'foldermtg'
is.foldert              Class 'foldert'
is.fpcad                Class 'fpcad'
is.mdsdd                Class 'mdsdd'
jeffreys                Jeffreys measure between Gaussian densities
jeffreyspar             Jeffreys measure between Gaussian densities
                        given their parameters
kurtosis.folder         Kurtosis coefficients of a folder of data sets
l2d                     L^2 inner product of probability densities
l2dpar                  L^2 inner product of Gaussian densities given
                        their parameters
matddchisqsym           Matrix of distances between discrete
                        probability densities given samples
matddchisqsympar        Matrix of distances between discrete
                        probability densities given the probabilities
                        on their common support
matddhellinger          Matrix of distances between discrete
                        probability densities given samples
matddhellingerpar       Matrix of distances between discrete
                        probability densities given the probabilities
                        on their common support
matddjeffreys           Matrix of distances between discrete
                        probability densities given samples
matddjeffreyspar        Matrix of divergences between discrete
                        probability densities given the probabilities
                        on their common support
matddjensen             Matrix of divergences between discrete
                        probability densities given samples
matddjensenpar          Matrix of divergences between discrete
                        probability densities given the probabilities
                        on their common support
matddlp                 Matrix of distances between discrete
                        probability distributions given samples
matddlppar              Matrix of distances between discrete
                        probability densities given the probabilities
                        on their common support
matdistl2d              Matrix of L^2 distances between probability
                        densities
matdistl2dnorm          Matrix of L^2 distances between L^2-normed
                        probability densities
matdistl2dnormpar       Matrix of L^2 distances between L^2-normed
                        Gaussian densities given their parameters
matdistl2dpar           Matrix of L^2 distances between Gaussian
                        densities given their parameters
mathellinger            Matrix of Hellinger distances between Gaussian
                        densities
mathellingerpar         Matrix of Hellinger distances between Gaussian
                        densities given their parameters
matipl2d                Matrix of L^2 inner products of probability
                        densities
matipl2dpar             Matrix of L^2 inner products of Gaussian
                        densities
matjeffreys             Matrix of the Jeffreys measures (symmetrised
                        Kullback-Leibler divergences) between Gaussian
                        densities
matjeffreyspar          Matrix of Jeffreys measures (symmetrised
                        Kullback-Leibler divergences) between Gaussian
                        densities
matwasserstein          Matrix of 2-Wassterstein distance between
                        Gaussian densities
matwassersteinpar       Matrix of 2-Wasserstein distances between
                        Gaussian densities
mdsdd                   Multidimensional scaling of discrete
                        probability distributions
mean.folder             Means of a folder of data sets
mtgcomponents           Components of upper scale of a vertex
mtgorder                Branching order of vertices
mtgplant1               Class 'foldermtg'
mtgplant2               Class 'foldermtg'
mtgrank                 Ranks of vertices in a decomposition
plot.dstatis            Plotting scores of STATIS method
                        (interstructure) analysis
plot.fhclustd           Plotting a hierarchical clustering
plot.fmdsd              Plotting scores of multidimensional scaling of
                        density functions
plot.foldert            Plotting data of a foldert
plot.fpcad              Plotting scores of principal component analysis
                        of density functions
plot.fpcat              Plotting scores of principal component analysis
                        of density functions among time
plot.hclustdd           Plotting a hierarchical clustering of discrete
                        distributions
plot.mdsdd              Plotting scores of multidimensional scaling
                        analysis of discrete distributions
plotframes              Plotting of two sets of variables
print.discdd.misclass   Printing results of discriminant analysis of
                        discrete probability distributions
print.discdd.predict    Printing results of discriminant analysis of
                        discrete probability distributions
print.dstatis           Printing results of STATIS method
                        (interstructure) analysis
print.fdiscd.misclass   Printing results of discriminant analysis of
                        probability density functions
print.fdiscd.predict    Printing results of discriminant analysis of
                        probability density functions
print.fhclustd          Printing results of a hierarchical clustering
                        of probability density functions
print.fmdsd             Printing results of a multidimensional scaling
                        analysis of probability densities
print.foldermtg         Printing an object of class 'foldermtg'
print.foldert           Printing an object of class 'foldert'
print.fpcad             Printing results of a functional PCA of
                        probability densities
print.fpcat             Printing results of a functional PCA of
                        probability densities among time
print.hclustdd          Printing results of a hierarchical clustering
                        of discrete distributions
print.mdsdd             Printing results of a multidimensional scaling
                        analysis of discrete distributions
read.mtg                Read a MTG (Multiscale Tree Graph) file
rmcol.folder            Remove columns in all elements of a folder
rmcol.foldert           Remove cols in all elements of a foldert
rmrow.folder            Remove rows in all elements of a folder
rmrow.foldert           Remove rows in all elements of a foldert
roseflowers             Rose flowers
roseleaves              Rose leaves
rosephytomer            Rose leaf and internode dynamics
roses                   Roses data
skewness.folder         Skewness coefficients of a folder of data sets
sqrtmatrix              Square root of a symmetric, positive
                        semi-definite matrix
summary.folder          Summarize a folder
summary.folderh         Summarize a folderh
summary.foldermtg       Summary of an object of class 'foldermtg'
summary.foldert         Summarize a foldert
var.folder              Variance matrices of a folder of data sets
varietyleaves           Rose variety leaves
wasserstein             2-Wasserstein distance between Gaussian
                        densities
wassersteinpar          2-Wasserstein distance between Gaussian
                        densities given their parameters
