Authors@R: person("Shaoyang", "Ning", email = "shaoyangning@fas.harvard.edu", role = c("aut", "cre"))
Description: Contains functions to perform copula estimation
Imports: MCMCpack, stats, plyr, MASS, Rdpack

Package: DPw
Type: Package
Title: Semiparametric Bayesian procedure for selecting a subset
containing the weakest species with an acceptably high
probability.
Version: 1.1.1
Date: 2013-02-26
Author: Yumi Kondo
Maintainer: Yumi Kondo <y.kondo@stat.ubc.ca>
Description: The purpose of the functions implemented in this package
is to find a subset containing the weakest species with some
acceptable certainty. Suppose we have sampled some quality
measures T_{k,j} (>=0) from K species (k=1,...,K, j=1,...,m_k=
sample size of kth species), and wish to find the species with
the smallest alpha quantile (say, 5th percentile) of T (namely
the weakest species). Due to the small sample size (m_k) or
large number of species to be considered (K), we might not be
able to select a single species as a weakest one with
acceptably large certainty. Instead of selecting a single
species with a low certainty, we propose to select a subset of
species which contains the weakest species with predetermined
certainty.
License: GPL (>= 2)
Packaged: 2014-01-02 17:52:17 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-02 19:18:17

Description: The purpose of the functions implemented in this package is to find a subset containing the weakest species with some acceptable certainty. Suppose we have sampled some quality measures T_{k,j} (>=0) from K species (k=1,...,K, j=1,...,m_k= sample size of kth species), and wish to find the species with the smallest alpha quantile (say, 5th percentile) of T (namely the weakest species). Due to the small sample size (m_k) or large number of species to be considered (K), we might not be able to select a single species as a weakest one with acceptably large certainty. Instead of selecting a single species with a low certainty, we propose to select a subset of species which contains the weakest species with predetermined certainty.