predfinitepop: Predictive Inference on Totals and Averages of Finite Populations Segmented in Planned and Unplanned Domains

This package computes Bayesian predictive inference on totals and averages of finite populations segmented in planned and unplanned domains. Inference is based on Bayesian nonparametric methods using species-sampling models (specifically the Dirichlet process).

Version: 1.0
Depends: R (≥ 2.10)
Published: 2014-04-25
Author: Juan Carlos Martinez-Ovando, Sergio I. Olivares-Guzman, Adriana Roldan-Rodriguez.
Maintainer: Juan Carlos Martinez-Ovando <juan.martinez at banxico.org.mx>
License: GPL-3
Copyright: Banco de Mexico
NeedsCompilation: no
In views: Distributions
CRAN checks: predfinitepop results

Downloads:

Reference manual: predfinitepop.pdf
Package source: predfinitepop_1.0.tar.gz
Windows binaries: r-devel: predfinitepop_1.0.zip, r-release: predfinitepop_1.0.zip, r-oldrel: predfinitepop_1.0.zip
OS X Snow Leopard binaries: r-release: predfinitepop_1.0.tgz, r-oldrel: predfinitepop_1.0.tgz
OS X Mavericks binaries: r-release: predfinitepop_1.0.tgz