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

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 |

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 |

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 |

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 | 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' |

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' |

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' |

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' |

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 |

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 |

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 |

name-method | Conditions |

name<--method | Conditions |

nDiscretize | Function to change the global variables of the package 'distrEx' |

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 |

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' |

Range | Conditioning by an Euclidean space. |

Range-method | Conditioning by an Euclidean space. |

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 |

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 |

UnivariateCondDistribution-class | Univariate conditional distribution |

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 |

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