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: 2.0.1
Imports: methods, stats
Suggests: devtools, forestinventory, knitr, microbenchmark, nlme, pkgload, rmarkdown, rprojroot, RUnit, R.rsp, testthat
Published: 2020-03-23
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

Downloads:

Reference manual: maSAE.pdf
Vignettes: Mandallaz' model-assisted small area estimators
A Comparison of maSAE to forestinventory
A Taxonomy of Estimators
Package source: maSAE_2.0.1.tar.gz
Windows binaries: r-devel: maSAE_2.0.0.zip, r-devel-gcc8: maSAE_2.0.1.zip, r-release: maSAE_2.0.1.zip, r-oldrel: maSAE_1.0.0.zip
OS X binaries: r-release: maSAE_2.0.1.tgz, r-oldrel: maSAE_1.0.0.tgz
Old sources: maSAE archive

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