The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

saeczi: Small Area Estimation for Continuous Zero Inflated Data

Provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, <doi:10.1080/03610918.2011.598991>) introduce and describe this estimator and mean squared error estimator. White and others (2024+, <doi:10.48550/arXiv.2402.03263>) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: dplyr, lme4, purrr, progressr, furrr, future, rlang, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-06
DOI: 10.32614/CRAN.package.saeczi
Author: Josh Yamamoto [aut, cre], Dinan Elsyad [aut], Grayson White [aut], Julian Schmitt [aut], Niels Korsgaard [aut], Kelly McConville [aut], Kate Hu [aut]
Maintainer: Josh Yamamoto <joshuayamamoto5 at gmail.com>
License: MIT + file LICENSE
URL: https://harvard-ufds.github.io/saeczi/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: saeczi results

Documentation:

Reference manual: saeczi.pdf

Downloads:

Package source: saeczi_0.2.0.tar.gz
Windows binaries: r-devel: saeczi_0.2.0.zip, r-release: saeczi_0.2.0.zip, r-oldrel: saeczi_0.2.0.zip
macOS binaries: r-release (arm64): saeczi_0.2.0.tgz, r-oldrel (arm64): saeczi_0.2.0.tgz, r-release (x86_64): saeczi_0.2.0.tgz, r-oldrel (x86_64): saeczi_0.2.0.tgz
Old sources: saeczi archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=saeczi to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.