Package: hbsae 1.2

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 mean squared errors, as well as some model selection measures. Additional functions provide means to compute aggregate estimates and mean squared errors, to minimally adjust the small area estimates to benchmarks at a higher aggregation level, and to graphically compare different sets of small area estimates.

Authors:Harm Jan Boonstra [aut, cre]

hbsae_1.2.tar.gz
hbsae_1.2.zip(r-4.5)hbsae_1.2.zip(r-4.4)hbsae_1.2.zip(r-4.3)
hbsae_1.2.tgz(r-4.4-any)hbsae_1.2.tgz(r-4.3-any)
hbsae_1.2.tar.gz(r-4.5-noble)hbsae_1.2.tar.gz(r-4.4-noble)
hbsae_1.2.tgz(r-4.4-emscripten)hbsae_1.2.tgz(r-4.3-emscripten)
hbsae.pdf |hbsae.html
hbsae/json (API)
NEWS

# Install 'hbsae' in R:
install.packages('hbsae', repos = c('https://hjboonstra.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.53 score 2 stars 2 packages 28 scripts 380 downloads 25 exports 2 dependencies

Last updated 3 years agofrom:558d4724b1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:aggrbenchcAICCORCOVCVCVareaESTfSAEfSAE.AreafSAE.UnitfSurvReggenerateFakeDataMSER2raneffraneff.serelSERMSESEse2sv2syntheticuweightswDirect

Dependencies:latticeMatrix