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saeRobust

Robust Small Area Estimation

v0.5.0 · Mar 15, 2024 · MIT + file LICENSE

Description

Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.

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Maintainer: ‘Sebastian Warnholz <wahani@gmail.com>’

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  Authors@R: person(given = "Sebastian",
                    family = "Warnholz",
                    role = c("aut", "cre"),
                    email = "wahani@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Sebastian Warnholz <wahani@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Sebastian",
                    family = "Warnholz",
                    role = c("aut", "cre"),
                    email = "wahani@gmail.com")
as necessary.
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Sebastian Warnholz <wahani@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Sebastian",
                    family = "Warnholz",
                    role = c("aut", "cre"),
                    email = "wahani@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Sebastian Warnholz <wahani@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Sebastian",
                    family = "Warnholz",
                    role = c("aut", "cre"),
                    email = "wahani@gmail.com")
as necessary.

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies aoos assertthat ggplot2 Matrix magrittr MASS modules memoise pbapply Rcpp spdep emdi saeRobust

Version History

new 0.5.0 Mar 9, 2026