Package: msaeHB 0.1.0

Novia Permatasari

msaeHB: Multivariate Small Area Estimation using Hierarchical Bayesian Method

Implements area level of multivariate small area estimation using Hierarchical Bayesian method under Normal and T distribution. The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.

Authors:Azka Ubaidillah [aut], Novia Permatasari [aut, cre]

msaeHB_0.1.0.tar.gz
msaeHB_0.1.0.tar.gz(r-4.7-any)msaeHB_0.1.0.tar.gz(r-4.6-any)
msaeHB_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
msaeHB/json (API)

# Install 'msaeHB' in R:
install.packages('msaeHB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • datasaeNorm - Sample Data for Small Area Estimation using Hierarchical Bayesian Method under Multivariate Normal distribution
  • datasaeT - Sample Data for Small Area Estimation using Hierarchical Bayesian Method under Multivariate T distribution

On CRAN:

Conda:

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

jagscpp

1.00 score 245 downloads 3 exports 3 dependencies

Last updated from:ccf386a6a6. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK110
source / vignettesOK159
linux-release-x86_64OK97
wasm-releaseOK95

Exports:df2RmHBNormalmHBT

Dependencies:codalatticerjags