Package: saeHB.unit 0.1.0

Ridson Al Farizal P

saeHB.unit: Basic Unit Level Model using Hierarchical Bayesian Approach

Small area estimation unit level models (Battese-Harter-Fuller model) with a Bayesian Hierarchical approach. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Battese et al. (1988) <doi:10.1080/01621459.1988.10478561>.

Authors:Ridson Al Farizal P [aut, cre, cph], Azka Ubaidillah [aut]

saeHB.unit_0.1.0.tar.gz
saeHB.unit_0.1.0.tar.gz(r-4.5-noble)saeHB.unit_0.1.0.tar.gz(r-4.4-noble)
saeHB.unit_0.1.0.tgz(r-4.4-emscripten)saeHB.unit_0.1.0.tgz(r-4.3-emscripten)
saeHB.unit.pdf |saeHB.unit.html
saeHB.unit/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/alfrzlp/saehb.unit/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

1.70 score 1 scripts 171 downloads 2 exports 19 dependencies

Last updated 1 years agofrom:2d0139527e. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linuxOKNov 08 2024

Exports:autoplothb_unit

Dependencies:clicodadplyrfansigenericsgluelatticelifecyclemagrittrpillarpkgconfigR6rjagsrlangtibbletidyselectutf8vctrswithr