hbsae: Hierarchical Bayesian Small Area Estimation

Functions to compute small area estimates based on a basic area or unit-level model. The model is fit using restricted maximum likelihood, or in a hierarchical Bayesian way. In the latter case numerical integration is used to average over the posterior density for the between-area variance. The output includes the model fit, small area estimates and corresponding MSEs, as well as some model selection measures. Additional functions provide means to compute aggregate estimates and MSEs, to minimally adjust the small area estimates to benchmarks at a higher aggregation level, and to graphically compare different sets of small area estimates.

AuthorHarm Jan Boonstra
Date of publication2012-09-05 13:03:20
MaintainerHarm Jan Boonstra <hjboonstra@gmail.com>
LicenseGPL-3
Version1.0

View on CRAN

Files in this package

hbsae
hbsae/MD5
hbsae/R
hbsae/R/hbsae.R hbsae/R/fakedata.R
hbsae/NAMESPACE
hbsae/man
hbsae/man/uweights.Rd hbsae/man/summary.weights.Rd hbsae/man/sae-class.Rd hbsae/man/print.sae.Rd hbsae/man/plot.weights.Rd hbsae/man/plot.sae.Rd hbsae/man/hbsae-package.Rd hbsae/man/generateFakeData.Rd hbsae/man/fSurvReg.Rd hbsae/man/fSAE.Unit.Rd hbsae/man/fSAE.Rd hbsae/man/fSAE.Area.Rd hbsae/man/CVarea.Rd hbsae/man/bench.Rd hbsae/man/aggr.Rd
hbsae/examples
hbsae/examples/uweights.R
hbsae/examples/sae-class.R
hbsae/examples/fSurvReg.R
hbsae/examples/fSAE.Unit.R
hbsae/examples/fSAE.R
hbsae/examples/fSAE.Area.R
hbsae/examples/CVarea.R
hbsae/examples/bench.R
hbsae/examples/aggr.R
hbsae/DESCRIPTION

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.