Package: saeHB.unit 0.1.0

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.zip(r-4.7-any)saeHB.unit_0.1.0.zip(r-4.6-any)saeHB.unit_0.1.0.zip(r-4.5-any)
saeHB.unit_0.1.0.tgz(r-4.6-any)saeHB.unit_0.1.0.tgz(r-4.5-any)
saeHB.unit_0.1.0.tar.gz(r-4.7-any)saeHB.unit_0.1.0.tar.gz(r-4.6-any)
saeHB.unit_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
saeHB.unit/json (API)

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

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:

On CRAN:

Conda:

jagscpp

2.70 score 1 scripts 201 downloads 2 exports 18 dependencies

Last updated from:cde6c5d97a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK102
source / vignettesOK138
linux-releaseOK110
macos-releaseOK111
macos-oldrelOK123
windows-develOK72
windows-releaseOK62
windows-oldrelOK68
wasm-releaseOK85

Exports:autoplothb_unit

Dependencies:clicodadplyrgenericsgluelatticelifecyclemagrittrpillarpkgconfigR6rjagsrlangtibbletidyselectutf8vctrswithr