| distrEx-package {distrEx} | R Documentation |
distrEx proides some extensions of package distr:
E(X) for the expectation of a distribution object X
E(X,f) for the expectation of f(X) where X is
some distribution object and f some function in X
| Package: | distrEx |
| Version: | 0.4-3 |
| Date: | 2006-05-11 |
| Depends: | R(>= 2.2.0), methods, distr(>= 1.7) , evd |
| SaveImage: | no |
| LazyLoad: | yes |
| License: | GPL (version 2 or later) |
| URL: | http://www.uni-bayreuth.de/departments/math/org/mathe7/DISTR/ |
| Packaged: | Thu May 11 10:16:03 2006; Peter |
| Built: | R 2.4.0dev; i386-pc-mingw32; 2006-05-11 10:20:11; windows |
Distribution Classes "Distribution" (from distr) |>"UnivariateDistribution" (from distr) |>|>"AbscontDistribution" (from distr) |>|>|>"Gumbel" |>"MultivariateDistribution" |>|>"DiscreteMVDistribution-class" |>"UnivariateCondDistribution" |>|>"AbscontCondDistribution" |>|>|>"PrognCondDistribution" |>|>"DiscreteCondDistribution" "DistrList" |>"UnivarDistrList" Condition Classes "Condition" |>"EuclCondition" |>"PrognCondition" Parameter Classes "OptionalParameter" (from distr) |>"Parameter" (from distr) |>|>"LMParameter" |>|>"GumbelParameter"
Integration:
GLIntegrate Gauss-Legendre Quadrature
distrExIntegrate Integration of One-Dimensional Functions
Options:
distrExOptions Function to change the global variables of the
package 'distrEx'
Standardization:
make01 Centering and Standardization of Univariate
Distributions
Distribution Classes
ConvexContamination Generic Function for Generating Convex
Contaminations
DiscreteDistribution Generating function for
DiscreteDistribution-class
DiscreteMVDistribution
Generating function for
DiscreteMVDistribution-class
Gumbel Generating function for Gumbel-class
LMCondDistribution Generating function for the conditional
distribution of a linear regression model.
UnivarDistrList Generating function for UnivarDistrList-class
Condition Classes
EuclCondition Generating function for EuclCondition-class
Parameter Classes
LMParameter Generating function for LMParameter-class
Space Classes
EuclideanSpace Generating function for EuclideanSpace-class
Naturals Generating function for Naturals-class
Reals Generating function for Reals-class
Distances:
ContaminationSize Generic Function for the Computation of the
Convex Contamination (Pseudo-)Distance of Two
Distributions
HellingerDist Generic function for the computation of the
Hellinger distance of two distributions
KolmogorovDist Generic function for the computation of the
Kolmogorov distance of two distributions
TotalVarDist Generic function for the computation of the
total variation distance of two distributions
liesInSupport Generic Function for Testing the Support of a
Distribution
Functionals:
E Generic Function for the Computation of
(Conditional) Expectations
var Generic Functions for the Computation of
Functionals
IQR Generic Functions for the Computation of
Functionals
sd Generic Functions for the Computation of
Functionals
mad Generic Functions for the Computation of
Functionals
median Generic Functions for the Computation of
Functionals
truncated Moments:
m1df Generic Function for the Computation of Clipped
First Moments
m2df Generic function for the computation of clipped
second moments
Demos are available — see demo(package="distrEx").
You may suppress the start-up banner/message completely by setting options("StartupBanner"="off")
somewhere before loading this package by library or require in your R-code / R-session.
If option "StartupBanner" is not defined (default) or setting
options("StartupBanner"=NULL) or options("StartupBanner"="complete")
the complete start-up banner is displayed.
For any other value of option "StartupBanner" (i.e., not in c(NULL,"off","complete"))
only the version information is displayed.
The same can be achieved by wrapping the library or require call into
either suppressStartupMessages() or onlytypeStartupMessages(.,atypes="version")
Matthias Kohl Matthias.Kohl@stamats.de and
Peter Ruckdeschel Peter.Ruckdeschel@uni-bayreuth.de,
Maintainer: Matthias Kohl Matthias.Kohl@stamats.de
a more detailed manual for distr, distrSim, distrTEst, and distrEx may be downloaded from http://www.uni-bayreuth.de/departments/math/org/mathe7/DISTR/distr.pdf
a homepage to this package is available under
http://www.uni-bayreuth.de/departments/math/org/mathe7/DISTR/distrEx.html
M. Kohl (2005): Numerical Contributions to the Asymptotic Theory of Robustness. PhD Thesis. Bayreuth. Available as http://www.stamats.de/ThesisMKohl.pdf