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hbsae
View on CRAN: Click
here
Download and install hbsae package within the R console
Install from CRAN:
install.packages("hbsae")
Install from Github:
library("remotes")
install_github("cran/hbsae")
Install by package version:
library("remotes")
install_version("hbsae", "1.2")
Attach the package and use:
library("hbsae")
Maintained by
Harm Jan Boonstra
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-09-05
Latest Update: 2022-03-05
Description:
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.
How to cite:
Harm Jan Boonstra (2012). hbsae: Hierarchical Bayesian Small Area Estimation. R package version 1.2, https://cran.r-project.org/web/packages/hbsae
Previous versions and publish date:
1.0 (2012-09-05 15:03)
Other packages that cited hbsae R package
View hbsae citation profile
Other R packages that hbsae depends,
imports, suggests or enhances
Functions, R codes and Examples using
the hbsae R package
Some associated functions: CVarea . aggr . bench . fSAE.Area . fSAE.Unit . fSAE . fSurvReg . generateFakeData . hbsae-package . plot.sae . plot.weights . print.sae . sae-class . summary.weights . uweights .
Some associated R codes: fakedata.R . hbsae.R . output.R . Full hbsae package functions and examples
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