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.

maSAE: Mandallaz' Model-Assisted Small Area Estimators

An S4 implementation of the unbiased extension of the model- assisted synthetic-regression estimator proposed by Mandallaz (2013) <doi:10.1139/cjfr-2012-0381>, Mandallaz et al. (2013) <doi:10.1139/cjfr-2013-0181> and Mandallaz (2014) <doi:10.1139/cjfr-2013-0449>. It yields smaller variances than the standard bias correction, the generalised regression estimator.

Version: 2.0.3
Depends: R (≥ 3.6.0)
Imports: methods, stats
Suggests: devtools, forestinventory, JoSAE, knitr, microbenchmark, nlme, pkgload, rmarkdown, rprojroot, rsae, RUnit, R.rsp, sae, testthat
Published: 2021-04-12
Author: Andreas Dominik Cullmann [aut, cre], Daniel Mandallaz [ctb], Alexander Francis Massey [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu at mailbox.org>
License: BSD_2_clause + file LICENSE
URL: https://gitlab.com/fvafrCU/maSAE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: maSAE results

Documentation:

Reference manual: maSAE.pdf
Vignettes: Mandallaz' model-assisted small area estimators

Downloads:

Package source: maSAE_2.0.3.tar.gz
Windows binaries: r-devel: maSAE_2.0.3.zip, r-release: maSAE_2.0.3.zip, r-oldrel: maSAE_2.0.3.zip
macOS binaries: r-release (arm64): maSAE_2.0.3.tgz, r-oldrel (arm64): maSAE_2.0.3.tgz, r-release (x86_64): maSAE_2.0.3.tgz, r-oldrel (x86_64): maSAE_2.0.3.tgz
Old sources: maSAE archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=maSAE 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.