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 |
| 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_2.0.1.zip, r-release: maSAE_2.0.1.zip, r-oldrel: maSAE_2.0.1.zip |
| macOS binaries: | r-release: maSAE_2.0.1.tgz, r-oldrel: maSAE_2.0.1.tgz |
| Old sources: | maSAE archive |
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