Package: saens 0.1.2

saens: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas

Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.

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

saens_0.1.2.tar.gz
saens_0.1.2.zip(r-4.7-any)saens_0.1.2.zip(r-4.6-any)saens_0.1.2.zip(r-4.5-any)
saens_0.1.2.tgz(r-4.6-any)saens_0.1.2.tgz(r-4.5-any)
saens_0.1.2.tar.gz(r-4.7-any)saens_0.1.2.tar.gz(r-4.6-any)
saens_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
saens/json (API)

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

Bug tracker:https://github.com/alfrzlp/sae-ns/issues

Datasets:
  • mys - Mys: mean years of schooling people with disabilities in Papua Island, Indonesia.

On CRAN:

Conda:

2.85 score 1 stars 14 scripts 388 downloads 4 exports 29 dependencies

Last updated from:f77d8c4d5a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK174
linux-releaseOK121
macos-releaseOK107
macos-oldrelOK120
windows-develOK86
windows-releaseOK75
windows-oldrelOK82
wasm-releaseOK86

Exports:autoploteblupfheblupfh_clustereblupfh_ns

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr