Semi- and nonparametric Bayesian Subset Selection Procedures

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Documentation for package ‘DPw’ version 1.1.3

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ASTM ASTM D1990 procedures for finding the subset of controlling species.
ASTMMed ASTM D1990 procedures for finding the subset of controlling species.
ASTMTL ASTM D1990 procedures for finding the subset of controlling species.
beliefToW An empirical Bayes approach to the subset selection problem.
CDF.eBayes An empirical Bayes approach to the subset selection problem.
dweib An empirical Bayes approach to the subset selection problem.
F An empirical Bayes approach to the subset selection problem.
F_inv An empirical Bayes approach to the subset selection problem.
get.subset Return the subset of controlling species.
getden A semiparametric Bayesian approach to the subset selection problem
getM A semiparametric Bayesian approach to the subset selection problem
H An empirical Bayes approach to the subset selection problem.
MCMC.DPw A semiparametric Bayesian approach to the subset selection problem
MCMC.DPw.dp A semiparametric Bayesian approach to the subset selection problem
muinv Discrad burn-in from the MCMC output and thin the remaining output
nu An empirical Bayes approach to the subset selection problem.
Nuniq Discrad burn-in from the MCMC output and thin the remaining output
pr.discrete An empirical Bayes approach to the subset selection problem.
simdata Discrad burn-in from the MCMC output and thin the remaining output
sprob An empirical Bayes approach to the subset selection problem.
sprob.semi A semiparametric Bayesian approach to the subset selection problem
TL ASTM D1990 procedures for finding the subset of controlling species.
useSamp Discrad burn-in from the MCMC output and thin the remaining output