Package: saeHB.ZIB 0.1.1

Rizqina Rahmati

saeHB.ZIB: Small Area Estimation using Hierarchical Bayesian under Zero Inflated Binomial Distribution

Provides function for area level of small area estimation using hierarchical Bayesian (HB) method with Zero-Inflated Binomial distribution for variables of interest. Some dataset produced by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean.

Authors:Rizqina Rahmati, Azka Ubaidillah

saeHB.ZIB_0.1.1.tar.gz
saeHB.ZIB_0.1.1.tar.gz(r-4.5-noble)saeHB.ZIB_0.1.1.tar.gz(r-4.4-noble)
saeHB.ZIB_0.1.1.tgz(r-4.4-emscripten)saeHB.ZIB_0.1.1.tgz(r-4.3-emscripten)
saeHB.ZIB.pdf |saeHB.ZIB.html✨
saeHB.ZIB/json (API)

# Install 'saeHB.ZIB' in R:
install.packages('saeHB.ZIB', 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:
  • dataZIB - Sample Data for Small Area Estimation using Hierarchical Bayesian Method under Zero-Inflated Binomial Distribution
  • dataZIBns - Sample Data for Small Area Estimation using Hierarchical Bayesian Method under Zero-Inflated Binomial Distribution

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

jagscpp

2.00 score 2 scripts 197 downloads 1 exports 11 dependencies

Last updated 2 years agofrom:5bf6f3c421. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linuxOKDec 02 2024

Exports:ziBinomial

Dependencies:clicodagluelatticelifecyclemagrittrrjagsrlangstringistringrvctrs

saeHB_ZIB

Rendered fromsaeHB_ZIB.Rmdusingknitr::rmarkdownon Dec 02 2024.

Last update: 2022-06-22
Started: 2022-06-22