Distributional Data Analysis in Bayes Spaces

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Documentation for package ‘DistributionalDDA’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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A B C D E F G H I K L M N P R S T V W misc

-- A --

Add	Adds functional objects
Add.BDataDensities	Adds functional objects
Add.BDataDensities.BDataDensities	Adds functional objects
Add.BDataDensities.default	Adds functional objects
Add.BDataHistograms	Adds functional objects
Add.BDataHistograms.BDataHistograms	Adds functional objects
Add.BDataLogDensities	Adds functional objects
Add.BDataLogDensities.BDataLogDensities	Adds functional objects
Add.BDataLogDensities.default	Adds functional objects
Add.BDataLogPDFs	Adds functional objects
Add.BDataPDFs	Adds functional objects
Add.BDataSplines	Adds functional objects
Add.BDataSplines.BDataSplines	Adds functional objects
Add.BDataSplines.default	Adds functional objects
Add.function	Adds functional objects
Add.function.function	Adds functional objects
Add.function.list	Adds functional objects
Add.function.numeric	Adds functional objects
Add.list	Adds functional objects
Add.list.function	Adds functional objects
Add.list.list	Adds functional objects
Add.list.numeric	Adds functional objects
Add.numeric	Adds functional objects
Add.numeric.function	Adds functional objects
Add.numeric.list	Adds functional objects
Add.numeric.numeric	Adds functional objects
addFrequency	Pool absolute frequencies
addFrequency.BDataFrequencyHistograms.BDataFrequencyHistograms	Pool absolute frequencies
addFrequency.BDataFrequencyHistograms.BDataUnivariateSamples	Pool absolute frequencies
addFrequency.BDataUnivariateSamples.BDataFrequencyHistograms	Pool absolute frequencies
addFrequency.BDataUnivariateSamples.BDataUnivariateSamples	Pool absolute frequencies
age	Age Distribution Data for Upper Austrian Communes
as.BayesSpaceBasis	Finds a BayesSpaceBasis representation of the object
as.BayesSpaceBasis.BayesSpace	Finds a BayesSpaceBasis representation of the object
as.BayesSpaceBasis.BayesSpaceBasis	Finds a BayesSpaceBasis representation of the object
as.BDataDensities	Converts to a BDataDensities object
as.BDataDensities.BDataDensities	Converts to a BDataDensities object
as.BDataDensities.BDataHistograms	Converts to a BDataDensities object
as.BDataDensities.BDataLogDensities	Converts to a BDataDensities object
as.BDataDensities.BDataLogPDFs	Converts to a BDataDensities object
as.BDataDensities.BDataPDFs	Converts to a BDataDensities object
as.BDataDensities.BDataSamples	Converts to a BDataDensities object
as.BDataDensities.BDataSplines	Converts to a BDataDensities object
as.BDataDensityHistograms	Convert to a BDataDensityHistograms dataset
as.BDataDensityHistograms.BDataUnivariateSamples	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.BDataUnivariateSamples	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.BDataHistograms.BDataDensityHistograms	Represent data as a BDataHistogram (BDataDensityHistogram or BDataFrequencyHistogram
as.BDataHistograms.BDataFrequencyHistograms	Represent data as a BDataHistogram (BDataDensityHistogram or BDataFrequencyHistogram
as.BDataHistograms.BDataHistograms	Represent data as a BDataHistogram (BDataDensityHistogram or BDataFrequencyHistogram
as.BDataHistograms.histogram	Represent data as a BDataHistogram (BDataDensityHistogram or BDataFrequencyHistogram
as.BDataHistograms.list	Represent data as a BDataHistogram (BDataDensityHistogram or BDataFrequencyHistogram
as.BDataLogDensities	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataDensities	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataHistograms	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataLogDensities	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataLogPDFs	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataPDFs	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataSamples	Converts to a BDataLogDensities object
as.BDataLogDensities.BDataSplines	Converts to a BDataLogDensities object
as.BDataLogDensities.list	Converts to a BDataLogDensities object
as.BDataLogPDFs	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataDensities	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataDensityHistograms	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataFrequencyHistograms	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataLogDensities	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataLogPDFs	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataPDFs	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataSamples	Converts to representations as Log Probability Density functions
as.BDataLogPDFs.BDataSplines	Converts to representations as Log Probability Density functions
as.BDataPDFs	Converts to representations as Probability Density functions
as.BDataPDFs.BDataDensities	Converts to representations as Probability Density functions
as.BDataPDFs.BDataDensityHistograms	Converts to representations as Probability Density functions
as.BDataPDFs.BDataFrequencyHistograms	Converts to representations as Probability Density functions
as.BDataPDFs.BDataLogDensities	Converts to representations as Probability Density functions
as.BDataPDFs.BDataLogPDFs	Converts to representations as Probability Density functions
as.BDataPDFs.BDataPDFs	Converts to representations as Probability Density functions
as.BDataPDFs.BDataSamples	Converts to representations as Probability Density functions
as.BDataPDFs.BDataSplines	Converts to representations as Probability Density functions
as.BDataSamples	Converts to representations as BDataSamples
as.BDataSamples.BData	Converts to representations as BDataSamples
as.BDataSamples.BDataSamples	Converts to representations as BDataSamples
as.BDataSamples.BDataUnivariateSamples	Converts to representations as BDataSamples
as.BDataSplines	Convert distributional data to a spline representation
as.BDataSplines.BayesSpaceBasis	Convert distributional data to a spline representation
as.BDataSplines.BDataDensities	Convert distributional data to a spline representation
as.BDataSplines.BDataGeneral	Convert distributional data to a spline representation
as.BDataSplines.BDataLogDensities	Convert distributional data to a spline representation
as.BDataSplines.BDataLogPDFs	Convert distributional data to a spline representation
as.BDataSplines.BDataPDFs	Convert distributional data to a spline representation
as.BDataSplines.BDataSamples	Convert distributional data to a spline representation
as.BDataSplines.BDataSplines	Convert distributional data to a spline representation
as.BDataSplines.function	Convert distributional data to a spline representation
as.BDataSplines.histogram	Convert distributional data to a spline representation
as.data.frame.BData	Makes a list includable in a data.frame
as.data.frame.ListData	Makes a list includable in a data.frame
as.function.BayesSpaceBasis	Evaluates a BayesSpaceBasis

-- B --

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.
B2N01Basis20	The standard B2(N(0,1)) Bayes space.
B2N01Basis5	The standard B2(N(0,1)) Bayes space.
B2N01Basis7	The standard B2(N(0,1)) Bayes space.
B2Unif01	The standard B2(Unif(0,1)) Bayes space.
B2Unif01Basis20	The standard B2(Unif(0,1)) Bayes space.
B2Unif01Basis5	The standard B2(Unif(0,1)) Bayes space.
B2Unif01Basis7	The standard B2(Unif(0,1)) Bayes space.
basisEval	Evaluates a BayesSpaceBasis
basisEval.basisfd	Evaluates a BayesSpaceBasis
basisEval.BayesSpaceBasis	Evaluates a BayesSpaceBasis
BayesSpace	Creates the Bayes space for a reference measure
BayesSpaceBasis	Create a basis for a Bayes space
BayesSpaceBasis.basisfd	Create a basis for a Bayes space
BayesSpaceBasis.BayesSpace	Create a basis for a Bayes space
BayesSpaceBasis.BayesSpaceCartesianProduct	Create a BayesSpaceBasis for a Cartesian Product of Bayes Spaces
BayesSpaceBasis.fd	Create a basis for a Bayes space
BayesSpaceBasis.function	Creates a BayesSpaceBasis from a function
BayesSpaceBasis.ReferenceMeasureCartesianProduct	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'
BayesSpaceBasisCartesianProduct	Computes the product basis of BayesSpaceBasis for the product BayesSpace
BayesSpaceCartesianProduct	The Cartesian Product of Bayes Spaces
BData	Distributional data containers (BData)
BDataDensities	Constructor of BDataDensities objects representing a Dataset of Densities in a BayesSpace
BDataDensities.BDataLogDensities	Constructor of BDataLogDensities objects representing a Dataset of log Densities in a BayesSpace
BDataDensities.function	Constructor of BDataDensities objects representing a Dataset of Densities in a BayesSpace
BDataDensities.list	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
BDataLogDensities.BDataDensities	Constructor of BDataLogDensities objects representing a Dataset of log Densities in a BayesSpace
BDataLogDensities.list	Constructor of BDataDensities objects representing a Dataset of Densities in a BayesSpace
BDataLogPDFs	Constructor of BDataLogDensities objects representing a Dataset of log Densities in a BayesSpace
BDataLogPDFs.BDataPDFs	Constructor of BDataLogDensities objects representing a Dataset of log Densities in a BayesSpace
BDataLogPDFs.list	Constructor of BDataDensities objects representing a Dataset of Densities in a BayesSpace
BDataPDFs	Constructor of BDataDensities objects representing a Dataset of Densities in a BayesSpace
BDataPDFs.BDataLogPDFs	Constructor of BDataLogDensities objects representing a Dataset of log Densities in a BayesSpace
BDataPDFs.function	Constructor of BDataDensities objects representing a Dataset of Densities in a BayesSpace
BDataPDFs.list	Constructor of BDataDensities objects representing a Dataset of 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.
biplot.princomp.BData	Biplot for PCA of Distributional Data
boxplot.BData	Functional Boxplot for BData objects
boxplot.BDataSamples	Functional Boxplot for BData objects
boxplot.BDataSplines	Functional Boxplot for BData objects

-- C --

cartesianProduct	Compute the cartesian product
cartesianProduct.BayesSpace	Compute the cartesian product
cartesianProduct.BayesSpaceBasis	Compute the cartesian product
cartesianProduct.ReferenceMeasure	Compute the cartesian product
cartesianProduct.Support	Compute the cartesian product
caseE	Expected values of functions of distributions
caseE.BData	Expected values of functions of distributions
caseE.BDataSamples	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
caseQuantiles.BData	Quantiles of distributions in a data set of distributions
caseQuantiles.BDataSamples	Quantiles of distributions in a data set of distributions
caseSds	Standard deviations of real-valued distributions
caseVars	Variances of real-valued distributions
caseVars.BData	Variances of real-valued distributions
caseVars.BDataSamples	Variances of real-valued distributions
cdf2density	numerically compute a density from a cdf
cdf2Support	Try to guess the support from cdf
cen	Centers the representation
cen.BayesSpaceBasis	Centers the representation
cen.BDataDensities	Centers the representation
cen.BDataLogDensities	Centers the representation
cen.BDataLogPDFs	Centers the representation
cen.BDataPDFs	Centers the representation
cen.function	Centers the representation
centeringConstant	Finds the centering constant(s)
centeringConstant.BayesSpaceBasis	Finds the centering constant(s)
centeringConstant.BDataDensities	Finds the centering constant(s)
centeringConstant.BDataLogDensities	Finds the centering constant(s)
centeringConstant.BDataLogPDFs	Finds the centering constant(s)
centeringConstant.BDataPDFs	Finds the centering constant(s)
centeringConstant.BDataSplines	Finds the centering constant(s)
centeringConstant.function	Finds the centering constant(s)
centralityQuantile	centralityQuantile
centralityQuantile.default	centralityQuantile
centralityRank	centralityQuantile
centralityRank.default	centralityQuantile
clo	Closes to a given total measure
clo.BayesSpaceBasis	Closes to a given total measure
clo.BDataDensities	Closes to a given total measure
clo.BDataHistograms	Closure methods for BData objects
clo.BDataLogDensities	Closes to a given total measure
clo.BDataLogPDFs	Closes to a given total measure
clo.BDataPDFs	Closes to a given total measure
clo.default	Closes to a given total measure
clo.function	Closes to a given total measure
closingConstant	Finds the closing constant(s)
closingConstant.BayesSpaceBasis	Finds the closing constant(s)
closingConstant.BDataDensities	Finds the closing constant(s)
closingConstant.BDataLogDensities	Finds the closing constant(s)
closingConstant.BDataLogPDFs	Finds the closing constant(s)
closingConstant.BDataPDFs	Finds the closing constant(s)
closingConstant.BDataSplines	Finds the closing constant(s)
closingConstant.function	Finds the closing constant(s)
clr	compute the clr transform
clr.BData	compute the clr transform
clr.default	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
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.
CovarianceOperator.ReferenceMeasure	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.
CovarianceOperator.ReferenceMeasureDiscrete	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.

-- D --

DiscretizedFunction	Creates a function based on a regular discretization
DiscretizedFunction.Discretizer	Creates a function based on a regular discretization
DiscretizedFunction.function	Creates a function based on a regular discretization
DiscretizedFunction.numeric	Creates a function based on a regular discretization
DiscretizedFunction.ReferenceMeasureTransformed	Creates a function based on a regular discretization
DiscretizedFunction.ReferenceMeasureUniform	Creates a function based on a regular discretization
dist.BData	Distance method for BData objects
dist.BDataLogDensities	Distance method for BData objects
dist.BDataSplines	Distance method for BData objects
distanceToCenter	Distance to Center
distanceToCenter.default	Distance to Center
Div	Division of functional objects
Div.BData	Division of functional objects
Div.function	Division of functional objects
Div.function.function	Division of functional objects
Div.function.list	Division of functional objects
Div.function.numeric	Division of functional objects
Div.list	Division of functional objects
Div.list.function	Division of functional objects
Div.list.list	Division of functional objects
Div.list.numeric	Division of functional objects
Div.numeric	Division of functional objects
Div.numeric.function	Division of functional objects
Div.numeric.list	Division of functional objects
Div.numeric.numeric	Division of functional objects
DTD	An example dataset for distributional data analysis

-- E --

ensureType	Returns the argument, but ensures that it has a certain class.
Exp	Functional mapping a function to its exp version
Exp.function	Functional mapping a function to its exp version
Exp.list	Functional mapping a function to its exp version
Exp.numeric	Functional mapping a function to its exp version
expectation	Computes expectations from reference measures
expectation.ReferenceMeasure	Computes expectations from reference measures
expectation.ReferenceMeasureDiscrete	Computes expectations from reference measures
expectation.ReferenceMeasureUniform	integrate a function over the uniform reference measure

-- F --

findJumps	Finds jumps of a function of a certain minimum height
format.BData	Makes a list includable in a data.frame
format.ListData	Makes a list includable in a data.frame
fx	Shortcut for creating functions of x

-- G --

getBayesSpace	Generic function returning the Bayes space associated to the given object.
getBayesSpace.BayesSpace	Generic function returning the Bayes space associated to the given object.
getBayesSpace.BayesSpaceBasis	Generic function returning the Bayes space associated to the given object.
getBayesSpace.BData	Generic function returning the Bayes space associated to the given object.
getBayesSpace.default	Generic function returning the Bayes space associated to the given object.
getBayesSpace.L2Space	Generic function returning the Bayes space associated to the given object.
getBayesSpace.NULL	Generic function returning the Bayes space associated to the given object.
getBayesSpace.ReferenceMeasure	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.
getBayesSpaceBasis.BayesSpace	Generic function returning the BayesSpaceBasis associated to the given object.
getBayesSpaceBasis.BayesSpaceBasis	Generic function returning the BayesSpaceBasis associated to the given object.
getBayesSpaceBasis.BData	Generic function returning the BayesSpaceBasis associated to the given object.
getBayesSpaceBasis.variationKernel	Generic function returning the BayesSpaceBasis associated to the given object.
getBayesSpaceBasis.varKernel	Generic function returning the BayesSpaceBasis associated to the given object.
getBayesSpaceBasisDimension	the dimension of the basis
getBayesSpaceBasisDimension.BayesSpaceBasis	the dimension of the basis
getBreaks	Common utilities for BDataHistograms objects
getBreaks.BDataHistograms	Common utilities for BDataHistograms objects
getCartesianFactors	Decomposes a cartesian product into a list of its factors.
getDimension	Gets number of elements in a Basis
getDimension.BayesSpaceBasis	Gets number of elements in a Basis
getDimension.BDataSplines	Gets number of elements in a Basis
getDimension.matrix	Gets number of elements in a Basis
getDimension.numeric	Gets number of elements in a Basis
getDiscretizer	Computes Discretization points for nonequidistant discretization
getDiscretizer.BayesSpaceBasis	Computes Discretization points for nonequidistant discretization
getDiscretizer.ReferenceMeasureDiscrete	Computes Discretization points for nonequidistant discretization
getDiscretizer.ReferenceMeasureTransformed	Computes Discretization points for nonequidistant discretization
getDiscretizer.ReferenceMeasureUniform	Computes Discretization points for nonequidistant discretization
getL2Space	Generic function returning the L2Space associated to the given object.
getL2Space.BayesSpace	Generic function returning the L2Space associated to the given object.
getL2Space.BayesSpaceBasis	Generic function returning the L2Space associated to the given object.
getL2Space.BData	Generic function returning the L2Space associated to the given object.
getL2Space.default	Generic function returning the L2Space associated to the given object.
getL2Space.L2Space	Generic function returning the Bayes space associated to the given object.
getL2Space.NULL	Generic function returning the L2Space associated to the given object.
getL2Space.ReferenceMeasure	Generic function returning the L2Space associated to the given object.
getMetricTensor	Metric tensor of a space or basis
getPDF	returns the probability density function
getPDF.BData	returns the probability density function
getPDF.ReferenceMeasureTransformed	returns the probability density function
getPDF.ReferenceMeasureUniform	returns the probability density function
getReferenceMeasure	Getter for the ReferenceMeasure of an object
getReferenceMeasure.BayesSpace	Getter for the ReferenceMeasure of an object
getReferenceMeasure.default	Getter for the ReferenceMeasure of an object
getReferenceMeasure.L2Space	Getter for the ReferenceMeasure of an object
getReferenceMeasure.ReferenceMeasure	Getter for the ReferenceMeasure of an object
getSample	Get a sample from the reference measure
getSample.BayesSpace	Get a sample from the reference measure
getSample.L2Space	Get a sample from the reference measure
getSample.ReferenceMeasure	Get a sample from the reference measure
getSample.ReferenceMeasureCartesianProduct	Get a sample from the reference measure
getSample.ReferenceMeasureDiscrete	Get a sample from the reference measure
getSample.ReferenceMeasureTransformed	A general continuous reference measure on the real line
getSplineCoefs	Coefficients of a single BayesSpace element.
getSplineCoefs.BData	Coefficients of a single BayesSpace element.
getSplineCoefs.BDataSplines	Coefficients of a single BayesSpace element.
getSplineCoefs.default	Coefficients of a single BayesSpace element.
getSplineCoefs.function	Coefficients of a single BayesSpace element.
getSplineCoefs.hist	Coefficients of a single BayesSpace element.
getSupport	The support of the measures
getSupport.BayesSpace	The support of the measures
getSupport.BayesSpaceBasis	The support of the measures
getSupport.BData	The support of the measures
getSupport.function	The support of the measures
getSupport.list	The support of the measures
getSupport.ListData	The support of the measures
getSupport.numeric	The support of the measures
getSupport.ReferenceMeasureCartesianProduct	The support of the measures
getSupport.ReferenceMeasureDiscrete	The support of the measures
getSupport.ReferenceMeasureTransformed	The support of the measures
getSupport.ReferenceMeasureUniform	The support of the measures
getSupport.Support	The support of the measures
getSupport.variationKernel	The support of the measures
getSupport.varKernel	The support of the measures
getSupport1DPlottingLimits	The support of the measures
getSupportAtoms	The support of the measures
getWeights	Get a sample from the reference measure

-- H --

hasSameBayesSpace	Checks whether two objects have the same BayesSpace
hasSameBayesSpaceBasis	Checks whether the associated BayesSpaceBasis of to objects is the same
hasWeights	Get a sample from the reference measure
hasWeights.default	Get a sample from the reference measure

-- I --

idt.BData	Isometric default representations for BData objects
idtInv.BData	Isometric default representations for BData objects
idtInv.BDataSplines	Isometric default representations for BData objects
isCentered	Returns whether its know that the object is closed or centered
isCentered.BayesSpaceBasis	Returns whether its know that the object is closed or centered
isCentered.BData	Returns whether its know that the object is closed or centered
isCentered.BDataSplines	Returns whether its know that the object is closed or centered
isCentered.default	Returns whether its know that the object is closed or centered
isClosed	Returns whether its know that the object is closed or centered
isClosed.BData	Returns whether its know that the object is closed or centered
isClosed.default	Returns whether its know that the object is closed or centered
isInDomain	Checks whether values are in the domain of the ReferenceMeasure
isInDomain.BayesSpace	Checks whether values are in the domain of the ReferenceMeasure
isInDomain.BayesSpaceBasis	Checks whether values are in the domain of the ReferenceMeasure
isInDomain.L2Space	Checks whether values are in the domain of the ReferenceMeasure
isInDomain.ReferenceMeasureCartesianProduct	Checks whether values are in the domain of the ReferenceMeasure
isInDomain.ReferenceMeasureDiscrete	Checks whether values are in the domain of the ReferenceMeasure
isInDomain.ReferenceMeasureTransformed	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
isValidBayesSpaceElement.BData	Checks whether an object is an element (or dataset of elements) of a BayesSpace
isValidBayesSpaceElement.default	Checks whether an object is an element (or dataset of elements) of a BayesSpace
isValidBayesSpaceElement.function	Checks whether an object is an element (or dataset of elements) of a BayesSpace
isValidBayesSpaceElement.histogram	Checks whether an object is an element (or dataset of elements) of a BayesSpace

-- K --

kdeDensity	Computes an evaluable kernel density estimate on a dataset
kdeDensity.data.frame	Computes an evaluable kernel density estimate on a dataset
kdeDensity.list	Computes an evaluable kernel density estimate on a dataset
kdeDensity.matrix	Computes an evaluable kernel density estimate on a dataset
kdeDensity.numeric	Computes an evaluable kernel density estimate on a dataset

-- L --

L2Space	Creates the L2-space for a Reference Measure
L2Space.BayesSpace	Creates the L2-space for a Reference Measure
L2Space.ReferenceMeasure	Creates the L2-space for a Reference Measure
L2SpaceCartesianProduct	The Cartesian Product of Bayes Spaces
ListData	Makes a list includable in a data.frame
listDataElementAccess	Accesses list elements with an expression
ListDataEnv	Makes a list includable in a data.frame
ListDataRecover	Makes a list includable in a data.frame
Ln	Functional mapping a function to its exp version
Ln.function	Functional mapping a function to its exp version
Ln.list	Functional mapping a function to its exp version
Ln.numeric	Functional mapping a function to its exp version

-- M --

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.BDataDensities	Computes the distribution mean for BDataSplines.
mean.BDataLogDensities	Computes the distribution mean for BDataSplines.
mean.BDataLogPDFs	Computes the distribution mean for BDataSplines.
mean.BDataPDFs	Computes the distribution mean for BDataSplines.
mean.BDataSplines	Computes the distribution mean for BDataSplines.
median.BData	A distributional median
minFunc	Compute Maximum and Minimum Functions
msd.BData	Compute the metric variance
Mul	Multiplication of functional objects
Mul.BDataDensities	Multiplication of functional objects
Mul.BDataLogDensities	Multiplication of functional objects
Mul.BDataLogPDFs	Multiplication of functional objects
Mul.BDataPDFs	Multiplication of functional objects
Mul.BDataSplines	Multiplication of functional objects
Mul.function	Multiplication of functional objects
Mul.function.function	Multiplication of functional objects
Mul.function.list	Multiplication of functional objects
Mul.function.numeric	Multiplication of functional objects
Mul.list	Multiplication of functional objects
Mul.list.function	Multiplication of functional objects
Mul.list.list	Multiplication of functional objects
Mul.list.numeric	Multiplication of functional objects
Mul.numeric	Multiplication of functional objects
Mul.numeric.BData	Multiplication of functional objects
Mul.numeric.function	Multiplication of functional objects
Mul.numeric.list	Multiplication of functional objects
Mul.numeric.numeric	Multiplication of functional objects
mvar.BData	Compute the metric variance
mvar.BDataSplines	Compute the metric variance

-- N --

nCases	Accessing cases regardless how a dataset is stored.
nCases.default	Accessing cases regardless how a dataset is stored.
norm	Computes the Bayes-Space norm of BData objects
norm.BData	Computes the Bayes-Space norm of BData objects
norm.BDataSplines	Computes the Bayes-Space norm of BData objects
numberOfCases	A generic function computing the number of cases.
numberOfCases.data.frame	A generic function computing the number of cases.
numberOfCases.default	A generic function computing the number of cases.

-- P --

pdf2Support	Guesses the support from a pdf
plot.BayesSpaceBasis	plot the 'BayesSpaceBasis'
plot.BDataDensities	Helper function to plot multiple functions
plot.BDataHistograms	Plot histograms as segments
plot.BDataLogDensities	Helper function to plot multiple functions
plot.BDataLogPDFs	Helper function to plot multiple functions
plot.BDataPDFs	Helper function to plot multiple functions
plot.BDataSamples	Plotting BDataSample Objects
plot.BDataSplines	Plot a set of spline functions (using visualisation tools from fda)
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.variationKernel	Plotting varKernel objects
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.BayesSpace	Pretty printing of BayesSpaces
print.BDataLogDensities	Print a BDataLogDensities object
print.BDataLogPDFs	Print a BDataLogPDFs object
print.BDataSplines	Print a BDataSplines object
print.L2Space	prints "L2Space with reference measure" and than the reference measure.
print.princomp.BData	Principal Component Analysis for Distributional Data
print.princomp.BData.grouped	Print a grouped distributional PCA
print.princomp.BData.multivariate	Print a multivariate (2D-)SFPCA on distributional data
print.ReferenceMeasure	Printing ReferenceMeasures

-- R --

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

-- S --

sample2Support	Guesses the support from a sample
scalarProduct	Computes the scalar product of (datasets of) vectors from various spaces
scalarProduct.BDataDensities	Computes the scalar product of (datasets of) vectors from various spaces
scalarProduct.BDataLogDensities	Computes the scalar product of (datasets of) vectors from various spaces
scalarProduct.BDataSplines	Computes the scalar product of (datasets of) vectors from various spaces
scalarProduct.numeric	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
selectCases	Accessing cases regardless how a dataset is stored.
selectCases.default	Accessing cases regardless how a dataset is stored.
selectIntegrationMethod	Identifies the integration method to be choosen for a measure
selectIntegrationMethod.CartesianProductMeasure	Identifies the integration method to be choosen for a measure
selectIntegrationMethod.ReferenceMeasure	Identifies the integration method to be choosen for a measure
simulate.B2DistHyper	Simulates a B2DistHyper distribution
simulate.B2GaussianDistribution	A Gaussian Process distribution for probabilities
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
spatialDepth.BData	Spatial Depth in dataset
spatialDepth.matrix	Spatial Depth in dataset
spatialDepth.numeric	Spatial Depth in dataset
StdReferenceMeasureN01	The standard B2(Unif(0,1)) Bayes space.
StdReferenceMeasureUnif01	The standard B2(Unif(0,1)) Bayes space.
storingDigester	Makes a list includable in a data.frame
Sub	Substract functional objects
Sub.BDataDensities	Substract functional objects
Sub.BDataHistograms	Substract functional objects
Sub.BDataHistograms.BDataHistograms	Substract functional objects
Sub.BDataLogDensities	Substract functional objects
Sub.BDataLogPDFs	Substract functional objects
Sub.BDataPDFs	Substract functional objects
Sub.BDataSplines	Substract functional objects
Sub.function	Substract functional objects
Sub.function.function	Substract functional objects
Sub.function.list	Substract functional objects
Sub.function.numeric	Substract functional objects
Sub.list	Substract functional objects
Sub.list.function	Substract functional objects
Sub.list.list	Substract functional objects
Sub.list.numeric	Substract functional objects
Sub.numeric	Substract functional objects
Sub.numeric.function	Substract functional objects
Sub.numeric.list	Substract functional objects
Sub.numeric.numeric	Substract functional objects
subBasisIndices	Computes the indices of a certain marginal basis
summary.BDataSamples	BData container with distributions as samples
summary.BDataUnivariateSamples	BData container with distributions as samples
summary.princomp.BData	Summary of PCA for Distributional Data
Support	The support of the measures
SupportCartesianProduct	Creates a cartesian product of supports
supportDiscretization	Computes the discretization of a mixed support
supportDiscretization.DiscreteSupport	Computes the discretization of a mixed support
supportDiscretization.RealSupport	Computes the discretization of a mixed support

-- T --

toHistogram	Convert something to a histogram
toHistogram.BData	Convert something to a histogram
toHistogram.BDataHistograms	Convert something to a histogram
toHistogram.BDataUnivariateSamples	Convert something to a histogram
toHistogram.histogram	Convert something to a histogram
toHistogram.numeric	Convert something to a histogram

-- V --

variationKernel	Compute the variation kernel
variationKernel.BData	Compute the variation kernel
variationKernel.BDataSplines	Compute the variation kernel
variationKernel.function	Compute the variation kernel
variationKernel.variationKernel	Compute the variation kernel
varKernel	Compute the kernel of the Variance Kovariance operator
varKernel.BData	Compute the kernel of the Variance Kovariance operator
varKernel.BDataSplines	Compute the kernel of the Variance Kovariance operator
varKernel.function	Compute the kernel of the Variance Kovariance operator
varKernel.varKernel	Compute the kernel of the Variance Kovariance operator

-- W --

weightedStats	Computes mean and variance for weighted reference measures
weightedStats.ReferenceMeasure	Computes mean and variance for weighted reference measures
weightedStats.ReferenceMeasureDiscrete	Computes mean and variance for weighted reference measures

-- misc --

%.%	Operator to act on a list
%..%	Operator to act on a list
*.BData	Operations for BData objects
+.BData	Operations for BData objects
-.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.
/.BData	Operations for BData objects
[.BDataHistograms	Subsetting BDataHistograms
[.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.
[.BDataUnivariateSamples	BData container with distributions as samples