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saeRobust
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]
[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 07 Nov. 2024.
Previous versions and publish date:
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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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