predfinitepop
1.0Predictive Inference on Totals and Averages of Finite Populations Segmented in Planned and Unplanned Domains.
Overview
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).
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Documentation
- Examples that run
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Code & Tests
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People & History
1 release. R releases are shown for context.
- RR 3.3.0 released · 2016-05-03
- archivedRemoved from CRAN2015-07-01maintainer address <juan.martinez@banxico.org.mx> bounced
- RR 3.2.0 released · 2015-04-16
- 1.02014-04-24
- RR 3.1.0 released · 2014-04-10
Package metadata
- Total releases
- 1
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 130 KB / 4 files
- Download size
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- With dependencies
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Run in R for the authors' preferred citation:
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