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.


This is an R package for small area estimation (the unbiased extension of the model-assisted synthetic-regression estimator proposed by Daniel Mandallaz of ETH Zuerich in 2013 and 2014.)

In R, try:

library("devtools")
install_github("fvafrCU/maSAE")
help("maSAE-package", package = "maSAE")

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Reference manual

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install.packages("maSAE")

2.0.1 by Andreas Dominik Cullmann, 7 months ago


https://gitlab.com/fvafrCU/maSAE


Browse source code at https://github.com/cran/maSAE


Authors: Andreas Dominik Cullmann [aut, cre] , Daniel Mandallaz [ctb] , Alexander Francis Massey [ctb]


Documentation:   PDF Manual  


BSD_2_clause + file LICENSE license


Imports methods, stats

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


See at CRAN