Mandallaz' Model-Assisted Small Area Estimators
An S4 implementation of the unbiased extension of the model-assisted synthetic-regression estimator proposed by Mandallaz (2013), Mandallaz et al. (2013) and Mandallaz (2014).
It yields smaller variances than the standard bias correction, the generalised regression estimator.

c(person(given = c("Andreas", "Dominik"), family = "Cullmann",
email = "r-package_masae@arcor.de", role = c("aut","cre"), comment = NULL,
first = NULL, last = NULL)
, person(given = c("Daniel"), family = "Mandallaz", role = c("ctb"))
, person(given = c("Alexander", "Francis"), family = "Massey",
role = c("ctb"))
)
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.

c(person(given = c("Andreas", "Dominik"), family = "Cullmann",
email = "r-package_masae@arcor.de", role = c("aut","cre")),
person(given = c("Daniel"), family = "Mandallaz", role = c("ctb")),
person(given = c("Alexander", "Francis"), family = "Massey",
role = c("ctb"))
)

c(person(given = "Andreas Dominik",
family = "Cullmann",
role = c("aut", "cre"),
email = "fvafrcu@mailbox.org"),
person(given = "Daniel",
family = "Mandallaz",
role = "ctb"),
person(given = c("Alexander", "Francis"),
family = "Massey",
role = "ctb"))
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.
devtools, forestinventory, knitr, microbenchmark, nlme,
pkgload, rmarkdown, rprojroot, RUnit, testthat

devtools, forestinventory, knitr, microbenchmark, nlme,
pkgload, rmarkdown, rprojroot, RUnit, R.rsp, testthat