%.%                     Operator to act on a list
+.BData                 Operations for BData objects
.DensityFromHist        Compute the density relativ to a measure from
                        histogram weights.
.LogDensityFromHist     Compute the log density relativ to a measure
                        from histogram weights.
Add                     Adds functional objects
B2DistHyper             A distribution of distributions based a
                        distribution family with random
                        hyperparameters.
B2GaussianDistribution
                        A Gaussian Process distribution for
                        probabilities
B2N01                   The standard B2(N(0,1)) Bayes space.
BData                   Distributional data containers (BData)
BDataDensities          Constructor of BDataDensities objects
                        representing a Dataset of Densities in a
                        BayesSpace
BDataDensityHistograms
                        Data container for distributions as histograms
BDataFrequencyHistograms
                        Data container for distributions as histograms
BDataGeneral            BayesSpace data in different formats
BDataLogDensities       Constructor of BDataLogDensities objects
                        representing a Dataset of log Densities in a
                        BayesSpace
BDataSamples            BData container with distributions as samples
BDataSplines            create a 'BDataSplines' object: a set of
                        distributions represented as splines; possible
                        representation of individual distribution
                        through a vector of coefficients.
BayesSpace              Creates the Bayes space for a reference measure
BayesSpaceBasis         Create a basis for a Bayes space
BayesSpaceBasis.BayesSpaceCartesianProduct
                        Create a BayesSpaceBasis for a Cartesian
                        Product of Bayes Spaces
BayesSpaceBasis.ReferenceMeasureDiscrete
                        Coded Basis for ReferenceMeasureDiscrete
BayesSpaceBasis.ReferenceMeasureTransformed
                        Generates a BayesSpaceBasis for transformed
                        Bayes Spaces
BayesSpaceBasis.ReferenceMeasureUniform
                        create the 'BayesSpaceBasis' object for
                        'ReferenceMeasureUniform'
BayesSpaceBasis.function
                        Creates a BayesSpaceBasis from a function
BayesSpaceBasisCartesianProduct
                        Computes the product basis of BayesSpaceBasis
                        for the product BayesSpace
BayesSpaceCartesianProduct
                        The Cartesian Product of Bayes Spaces
CovarianceOperator      Computes a covariance with respect to a
                        measure. The function can be considered
                        internal implementation details of the package,
                        but needs to be exported due to its generic
                        nature.
DTD                     An example dataset for distributional data
                        analysis
DiscretizedFunction     Creates a function based on a regular
                        discretization
Div                     Division of functional objects
L2Space                 Creates the L2-space for a Reference Measure
ListDataEnv             Makes a list includable in a data.frame
Ln                      Functional mapping a function to its exp
                        version
Mul                     Multiplication of functional objects
ReferenceMeasure        Reference measures: the geometry of a Bayes
                        space
ReferenceMeasureCartesianProduct
                        Compute a cartesian Product of measures
ReferenceMeasureDiscrete
                        Discrete Reference Measure for BayesSpaces
ReferenceMeasureTransformed
                        A general continuous reference measure on the
                        real line
ReferenceMeasureUniform
                        create the ReferenceMeasureUniform class
StdReferenceMeasureUnif01
                        The standard B2(Unif(0,1)) Bayes space.
Sub                     Substract functional objects
Support                 The support of the measures
SupportCartesianProduct
                        Creates a cartesian product of supports
[.BDataHistograms       Subsetting BDataHistograms
addFrequency            Pool absolute frequencies
age                     Age Distribution Data for Upper Austrian
                        Communes
as.BDataDensities       Converts to a BDataDensities object
as.BDataDensityHistograms
                        Convert to a BDataDensityHistograms dataset
as.BDataDensityHistograms.list
                        Build a distributional dataset as density
                        histograms from a list
as.BDataFrequencyHistograms
                        Converts to a BDataFrequencyHistograms
as.BDataFrequencyHistograms.list
                        Build a distributional dataset as histograms
                        from a list
as.BDataHistograms      Represent data as a BDataHistogram
                        (BDataDensityHistogram or
                        BDataFrequencyHistogram
as.BDataLogDensities    Converts to a BDataLogDensities object
as.BDataLogPDFs         Converts to representations as Log Probability
                        Density functions
as.BDataPDFs            Converts to representations as Probability
                        Density functions
as.BDataSamples         Converts to representations as BDataSamples
as.BDataSplines         Convert distributional data to a spline
                        representation
as.BayesSpaceBasis      Finds a BayesSpaceBasis representation of the
                        object
basisEval               Evaluates a BayesSpaceBasis
biplot.princomp.BData   Biplot for PCA of Distributional Data
boxplot.BData           Functional Boxplot for BData objects
cartesianProduct        Compute the cartesian product
caseE                   Expected values of functions of distributions
caseLogRatios           Log-density ratios for each distribution (case)
caseMeans               Expected values (means) of real-valued
                        distributions
caseQuantiles           Quantiles of distributions in a data set of
                        distributions
caseSds                 Standard deviations of real-valued
                        distributions
caseVars                Variances of real-valued distributions
cdf2Support             Try to guess the support from cdf
cdf2density             numerically compute a density from a cdf
cen                     Centers the representation
centeringConstant       Finds the centering constant(s)
centralityQuantile      centralityQuantile
clo                     Closes to a given total measure
clo.BDataHistograms     Closure methods for BData objects
closingConstant         Finds the closing constant(s)
clr                     compute the clr transform
computeL22BayesSpacesBasisMatrix
                        Computes the matrix mapping an L2-space basis
                        to a Bayes-Space-Basis.
computeL22BayesSpacesBasisMatrix.basisfd
                        create the transform matrix A from a B-spline
                        basis (fda::create.bspline.basis())
computeLimit            computes the limit of a function
dist.BData              Distance method for BData objects
distanceToCenter        Distance to Center
ensureType              Returns the argument, but ensures that it has a
                        certain class.
expectation             Computes expectations from reference measures
expectation.ReferenceMeasureUniform
                        integrate a function over the uniform reference
                        measure
findJumps               Finds jumps of a function of a certain minimum
                        height
fx                      Shortcut for creating functions of x
getBayesSpace           Generic function returning the Bayes space
                        associated to the given object.
getBayesSpace.ReferenceMeasureCartesianProduct
                        Construct the product Bayes Space for a product
                        reference measure
getBayesSpaceBasis      Generic function returning the BayesSpaceBasis
                        associated to the given object.
getBayesSpaceBasisDimension
                        the dimension of the basis
getBreaks               Common utilities for BDataHistograms objects
getCartesianFactors     Decomposes a cartesian product into a list of
                        its factors.
getDimension            Gets number of elements in a Basis
getDiscretizer          Computes Discretization points for
                        nonequidistant discretization
getL2Space              Generic function returning the L2Space
                        associated to the given object.
getMetricTensor         Metric tensor of a space or basis
getPDF                  returns the probability density function
getReferenceMeasure     Getter for the ReferenceMeasure of an object
getSample               Get a sample from the reference measure
getSplineCoefs          Coefficients of a single BayesSpace element.
hasSameBayesSpace       Checks whether two objects have the same
                        BayesSpace
hasSameBayesSpaceBasis
                        Checks whether the associated BayesSpaceBasis
                        of to objects is the same
idt.BData               Isometric default representations for BData
                        objects
isClosed                Returns whether its know that the object is
                        closed or centered
isInDomain              Checks whether values are in the domain of the
                        ReferenceMeasure
isInDomain.ReferenceMeasureUniform
                        assess whether a vector of points belong to the
                        domain of the uniform reference measure
isValidBayesSpaceBasis
                        Checks that an object is a BayesSpaceBasis
isValidBayesSpaceElement
                        Checks whether an object is an element (or
                        dataset of elements) of a BayesSpace
kdeDensity              Computes an evaluable kernel density estimate
                        on a dataset
listDataElementAccess   Accesses list elements with an expression
makeFunctionOuter       Makes a vectorized 2-ary function into one that
                        returns a matrix
makeLimitStable         Makes a real function returning limits at
                        undefined points
mapToRealLineWithSupport
                        Gets coordinates on an axis for possibly non
                        real data
maxFunc                 Compute Maximum and Minimum Functions
mean.BDataSplines       Computes the distribution mean for
                        BDataSplines.
median.BData            A distributional median
mvar.BData              Compute the metric variance
nCases                  Accessing cases regardless how a dataset is
                        stored.
norm                    Computes the Bayes-Space norm of BData objects
numberOfCases           A generic function computing the number of
                        cases.
pdf2Support             Guesses the support from a pdf
plot.BDataHistograms    Plot histograms as segments
plot.BDataSamples       Plotting BDataSample Objects
plot.BDataSplines       Plot a set of spline functions (using
                        visualisation tools from fda)
plot.BayesSpaceBasis    plot the 'BayesSpaceBasis'
plot.princomp.BData     Plot Method for PCA of Distributional Data
plot.princomp.BData.grouped
                        Plot Method for Grouped PCA of Distributional
                        Data
plot.princomp.BData.multivariate
                        Plot Method for Multivariate SFPCA of
                        Distributional Data
plot.varKernel          Plotting varKernel objects
plotCoefs               Plot multiple coefficients in a parallel
                        coordinate plot
plotFuncs               Helper function to plot multiple functions
predict.princomp.BData
                        Predict Scores for New Distributional Data
princomp.BData          Principal Component Analysis for Distributional
                        Data
print.BDataLogDensities
                        Print a BDataLogDensities object
print.BDataLogPDFs      Print a BDataLogPDFs object
print.BDataSplines      Print a BDataSplines object
print.BayesSpace        Pretty printing of BayesSpaces
print.L2Space           prints "L2Space with reference measure" and
                        than the reference measure.
print.ReferenceMeasure
                        Printing ReferenceMeasures
print.princomp.BData.grouped
                        Print a grouped distributional PCA
print.princomp.BData.multivariate
                        Print a multivariate (2D-)SFPCA on
                        distributional data
sample2Support          Guesses the support from a sample
scalarProduct           Computes the scalar product of (datasets of)
                        vectors from various spaces
scalarProductOfLogDensities
                        Computes the scalar product of log densities in
                        a BayesSpace
scale.BData             Scale and/or center a BData set
screeplot.princomp.BData
                        Screeplot for PCA of Distributional Data
selectIntegrationMethod
                        Identifies the integration method to be choosen
                        for a measure
simulate.B2DistHyper    Simulates a B2DistHyper distribution
simulate.BData          Simulate from the distribution described by the
                        BData objects
simulate.ReferenceMeasureCartesianProduct
                        Simulates from a
                        ReferenceMeasureCartesianProduct
simulate.ReferenceMeasureDiscrete
                        Generates simulations from the Discrete
                        Reference Measure seen as distribution.
simulate.ReferenceMeasureTransformed
                        Generates simulations from the Reference
                        Measure seen as distribution.
simulate.ReferenceMeasureUniform
                        simulation method for the uniform
                        referencemeasure
spatialDepth            Spatial Depth in dataset
subBasisIndices         Computes the indices of a certain marginal
                        basis
summary.princomp.BData
                        Summary of PCA for Distributional Data
supportDiscretization   Computes the discretization of a mixed support
toHistogram             Convert something to a histogram
varKernel               Compute the kernel of the Variance Kovariance
                        operator
variationKernel         Compute the variation kernel
weightedStats           Computes mean and variance for weighted
                        reference measures
