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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' |
| 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 |