Last data update: 2014.03.03

imprProbEst

Package: imprProbEst
Type: Package
Title: Minimum distance estimation in an imprecise probability model
Version: 1.0.1
Date: 2008-10-23
Author: Robert Hable
Maintainer: Robert Hable <Robert.Hable@uni-bayreuth.de>
Description: A minimum distance estimator is calculated for an
imprecise probability model. The imprecise probability model
consists of upper coherent previsions whose credal sets are
given by a finite number of constraints on the expectations.
The parameter set is finite. The estimator chooses that
parameter such that the empirical measure lies next to the
corresponding credal set with respect to the total variation
norm.
Depends: R (>= 2.7.0), inline, lpSolve
LazyLoad: yes
License: LGPL-3
Packaged: 2010-05-07 07:52:20 UTC; ripley
Repository: CRAN
Date/Publication: 2010-05-07 16:10:30

● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'imprProbEst' ...
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'imprProbEst'
    finding HTML links ... done
    ArgMinDist                              html  
    imprProbEst-package                     html  
** building package indices
** testing if installed package can be loaded
* DONE (imprProbEst)
Making 'packages.html' ... done