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saeRobust  

Robust Small Area Estimation
View on CRAN: Click here


Download and install saeRobust package within the R console
Install from CRAN:
install.packages("saeRobust")

Install from Github:
library("remotes")
install_github("cran/saeRobust")

Install by package version:
library("remotes")
install_version("saeRobust", "0.5.0")



Attach the package and use:
library("saeRobust")
Maintained by
Sebastian Warnholz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-16
Latest Update: 2023-01-18
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.
How to cite:
Sebastian Warnholz (2016). saeRobust: Robust Small Area Estimation. R package version 0.5.0, https://cran.r-project.org/web/packages/saeRobust. Accessed 30 Jan. 2025.
Previous versions and publish date:
0.1.0 (2016-05-16 19:47), 0.2.0 (2018-03-27 22:43), 0.3.0 (2022-06-13 12:00), 0.4.0 (2023-01-18 09:40)
Other packages that cited saeRobust R package
View saeRobust citation profile
Other R packages that saeRobust depends, imports, suggests or enhances
Complete documentation for saeRobust
Functions, R codes and Examples using the saeRobust R package
Some associated functions: bootstrap . constTestData . correlation . fit . fixedPoint . makeXY . mse . plot . psiFunctions . rfh . score . update . variance . varianceMatrices . 
Some associated R codes: NAMESPACE.R . RcppExports.R . bootstrap.R . check.R . correlation.R . fit.R . fixedPoint.R . helper.R . makeXY.R . mat.R . matModels.R . mse.R . plot.R . print.R . psiFunctions.R . rfh.R . robustEstimationEquations.R . robustObjectiveFunctions.R . testData.R . update.R . variance.R .  Full saeRobust package functions and examples
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