# Extensions of Package 'distr'

## Documentation for package ‘distrEx’ version 2.9.6

- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

A C D E G H I K L M N O P R S T U V misc

distrEx-package | distrEx - Extensions of Package distr

## -- A --

AbscontCondDistribution-class | Absolutely continuous conditional distribution
AsymTotalVarDist | Generic function for the computation of asymmetric total variation distance of two distributions
AsymTotalVarDist-method | Generic function for the computation of asymmetric total variation distance of two distributions
AsymTotalVarDist-methods | Generic function for the computation of asymmetric total variation distance of two distributions

## -- C --

cond | Univariate conditional distribution
cond-method | Univariate conditional distribution
Condition-class | Conditions
ContaminationSize | Generic Function for the Computation of the Convex Contamination (Pseudo-)Distance of Two Distributions
ContaminationSize-method | Generic Function for the Computation of the Convex Contamination (Pseudo-)Distance of Two Distributions
ContaminationSize-methods | Generic Function for the Computation of the Convex Contamination (Pseudo-)Distance of Two Distributions
ConvexContamination | Generic Function for Generating Convex Contaminations
ConvexContamination-method | Generic Function for Generating Convex Contaminations
ConvexContamination-methods | Generic Function for Generating Convex Contaminations
CvMDist | Generic function for the computation of the Cramer - von Mises distance of two distributions
CvMDist-method | Generic function for the computation of the Cramer - von Mises distance of two distributions
CvMDist-methods | Generic function for the computation of the Cramer - von Mises distance of two distributions

## -- D --

dim | Methods for Function dim in Package 'distrEx'
dim-method | Methods for Function dim in Package 'distrEx'
dim-methods | Methods for Function dim in Package 'distrEx'
DiscreteCondDistribution-class | Discrete conditional distribution
DiscreteMVDistribution | Generating function for multivariate discrete distribution
DiscreteMVDistribution-class | Discrete Multivariate Distributions
distrEx | distrEx - Extensions of Package distr
distrExIntegrate | Integration of One-Dimensional Functions
distrExMASK | Masking of/by other functions in package "distrEx"
distrExMOVED | Moved functionality from package "distrEx"
distrExOptions | Function to change the global variables of the package 'distrEx'
distrExoptions | Function to change the global variables of the package 'distrEx'

## -- E --

E | Generic Function for the Computation of (Conditional) Expectations
E-method | Generic Function for the Computation of (Conditional) Expectations
E-methods | Generic Function for the Computation of (Conditional) Expectations
ElowerTruncQuantile | Function to change the global variables of the package 'distrEx'
EmpiricalMVDistribution | Generating function for mulitvariate discrete distribution
ErelativeTolerance | Function to change the global variables of the package 'distrEx'
EuclCondition | Generating function for EuclCondition-class
EuclCondition-class | Conditioning by an Euclidean space.
EupperTruncQuantile | Function to change the global variables of the package 'distrEx'

## -- G --

getDiagnostic | Integration of One-Dimensional Functions
getdistrExOption | Function to change the global variables of the package 'distrEx'
GLIntegrate | Gauss-Legendre Quadrature
GLIntegrateOrder | Function to change the global variables of the package 'distrEx'
GLIntegrateTruncQuantile | Function to change the global variables of the package 'distrEx'

## -- H --

HellingerDist | Generic function for the computation of the Hellinger distance of two distributions
HellingerDist-method | Generic function for the computation of the Hellinger distance of two distributions
HellingerDist-methods | Generic function for the computation of the Hellinger distance of two distributions
hSmooth | Function to change the global variables of the package 'distrEx'

## -- I --

IQR | Generic Functions for the Computation of Functionals
IQR-method | Generic Functions for the Computation of Functionals
IQR-methods | Generic Functions for the Computation of Functionals
IQR.fac | Function to change the global variables of the package 'distrEx'

## -- K --

KolmogorovDist | Generic function for the computation of the Kolmogorov distance of two distributions
KolmogorovDist-method | Generic function for the computation of the Kolmogorov distance of two distributions
KolmogorovDist-methods | Generic function for the computation of the Kolmogorov distance of two distributions
kurtosis | Generic Functions for the Computation of Functionals
kurtosis-method | Generic Functions for the Computation of Functionals
kurtosis-methods | Generic Functions for the Computation of Functionals

## -- L --

liesInSupport-method | Generic Function for Testing the Support of a Distribution
LMCondDistribution | Generating function for the conditional distribution of a linear regression model.
LMParameter | Generating function for LMParameter-class
LMParameter-class | Parameter of a linear regression model

## -- M --

m1df | Generic Function for the Computation of Clipped First Moments
m1df-method | Generic Function for the Computation of Clipped First Moments
m1df-methods | Generic Function for the Computation of Clipped First Moments
m1dfLowerTruncQuantile | Function to change the global variables of the package 'distrEx'
m1dfRelativeTolerance | Function to change the global variables of the package 'distrEx'
m2df | Generic function for the computation of clipped second moments
m2df-method | Generic function for the computation of clipped second moments
m2df-methods | Generic function for the computation of clipped second moments
m2dfLowerTruncQuantile | Function to change the global variables of the package 'distrEx'
m2dfRelativeTolerance | Function to change the global variables of the package 'distrEx'
mad | Generic Functions for the Computation of Functionals
mad-method | Generic Functions for the Computation of Functionals
mad-methods | Generic Functions for the Computation of Functionals
make01 | Centering and Standardization of Univariate Distributions
MASKING | Masking of/by other functions in package "distrEx"
MCIterations | Function to change the global variables of the package 'distrEx'
median | Generic Functions for the Computation of Functionals
median-method | Generic Functions for the Computation of Functionals
median-methods | Generic Functions for the Computation of Functionals
MOVEDING | Moved functionality from package "distrEx"
MultivariateDistribution-class | Multivariate Distributions

## -- N --

name-method | Conditions
name<--method | Conditions
nDiscretize | Function to change the global variables of the package 'distrEx'

## -- O --

OAsymTotalVarDist | Generic function for the computation of (minimal) asymmetric total variation distance of two distributions
OAsymTotalVarDist-method | Generic function for the computation of (minimal) asymmetric total variation distance of two distributions
OAsymTotalVarDist-methods | Generic function for the computation of (minimal) asymmetric total variation distance of two distributions

## -- P --

plot | Methods for Function plot in Package 'distrEx'
plot-method | Multivariate Distributions
plot-method | Univariate conditional distribution
plot-method | Methods for Function plot in Package 'distrEx'
plot-methods | Methods for Function plot in Package 'distrEx'
print.DiagnosticClass | Integration of One-Dimensional Functions
PrognCondDistribution | Generating function for PrognCondDistribution-class
PrognCondDistribution-class | Posterior distribution in convolution
PrognCondition | Conditions of class 'PrognCondition'
PrognCondition-class | Conditions of class 'PrognCondition'
propagate.names.functionals | Function to change the global variables of the package 'distrEx'

## -- R --

Range | Conditioning by an Euclidean space.
Range-method | Conditioning by an Euclidean space.

## -- S --

sd | Generic Functions for the Computation of Functionals
sd-method | Generic Functions for the Computation of Functionals
sd-methods | Generic Functions for the Computation of Functionals
show-method | Conditioning by an Euclidean space.
show-method | Parameter of a linear regression model
show-method | Multivariate Distributions
show-method | Conditions of class 'PrognCondition'
show-method | Univariate conditional distribution
showDiagnostic | Integration of One-Dimensional Functions
skewness | Generic Functions for the Computation of Functionals
skewness-method | Generic Functions for the Computation of Functionals
skewness-methods | Generic Functions for the Computation of Functionals
support-method | Discrete Multivariate Distributions

## -- T --

TotalVarDist | Generic function for the computation of the total variation distance of two distributions
TotalVarDist-method | Generic function for the computation of the total variation distance of two distributions
TotalVarDist-methods | Generic function for the computation of the total variation distance of two distributions

## -- U --

UnivariateCondDistribution-class | Univariate conditional distribution

## -- V --

var | Generic Functions for the Computation of Functionals
var-method | Generic Functions for the Computation of Functionals
var-methods | Generic Functions for the Computation of Functionals

## -- misc --

.qtlIntegrate | Generic Function for the Computation of (Conditional) Expectations