Package: saeME 1.3.1

Muhammad Rifqi Mubarak

saeME: Small Area Estimation with Measurement Error

A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>.

Authors:Azka Ubaidillah [aut], Muhammad Rifqi Mubarak [aut, cre]

saeME_1.3.1.tar.gz
saeME_1.3.1.zip(r-4.7-any)saeME_1.3.1.zip(r-4.6-any)
saeME_1.3.1.tar.gz(r-4.7-any)saeME_1.3.1.tar.gz(r-4.6-any)
saeME_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
saeME/json (API)

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

On CRAN:

Conda:

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

1.70 score 270 downloads 2 exports 1 dependencies

Last updated from:ec44e009e7. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK155
linux-releaseOK121
windows-develOK62
windows-releaseOK57
wasm-releaseOK91

Exports:FHmemse_FHme

Dependencies:MASS