Package: geoSAE 0.1.0

Ketut Karang Pradnyadika

geoSAE: Geoadditive Small Area Model

This function is an extension of the Small Area Estimation (SAE) model. Geoadditive Small Area Model is a combination of the geoadditive model with the Small Area Estimation (SAE) model, by adding geospatial information to the SAE model. This package refers to J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7), Bocci, C., & Petrucci, A. (2016)<doi:10.1002/9781118814963.ch13>, and Ardiansyah, M., Djuraidah, A., & Kurnia, A. (2018)<doi:10.21082/jpptp.v2n2.2018.p101-110>.

Authors:Ketut Karang Pradnyadika [aut, cre], Ika Yuni Wulansari [aut, ths]

geoSAE_0.1.0.tar.gz
geoSAE_0.1.0.zip(r-4.5)geoSAE_0.1.0.zip(r-4.4)geoSAE_0.1.0.zip(r-4.3)
geoSAE_0.1.0.tgz(r-4.4-any)geoSAE_0.1.0.tgz(r-4.3-any)
geoSAE_0.1.0.tar.gz(r-4.5-noble)geoSAE_0.1.0.tar.gz(r-4.4-noble)
geoSAE_0.1.0.tgz(r-4.4-emscripten)geoSAE_0.1.0.tgz(r-4.3-emscripten)
geoSAE.pdf |geoSAE.html
geoSAE/json (API)

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

Peer review:

Bug tracker:https://github.com/ketutdika/geosae/issues

Datasets:

On CRAN:

2 exports 0.51 score 3 dependencies 1 scripts 217 downloads

Last updated 3 years agofrom:18710b2937. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:eblupgeopbmsegeo

Dependencies:latticeMASSnlme