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-4.5-noble)msaeHB_0.1.0.tar.gz(r-4.4-noble)
msaeHB_0.1.0.tgz(r-4.4-emscripten)msaeHB_0.1.0.tgz(r-4.3-emscripten)
msaeHB.pdf |msaeHB.html✨
msaeHB/json (API)

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

Peer review:

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

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

jagscpp

1.00 score 153 downloads 3 exports 3 dependencies

Last updated 3 years agofrom:ccf386a6a6. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linuxOKNov 25 2024

Exports:df2RmHBNormalmHBT

Dependencies:codalatticerjags