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saeRobust (version 0.5.0)

Robust Small Area Estimation

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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Version

Install

install.packages('saeRobust')

Monthly Downloads

417

Version

0.5.0

License

MIT + file LICENSE

Maintainer

Sebastian Warnholz

Last Published

March 15th, 2024

Functions in saeRobust (0.5.0)

bootstrap

Fit model on Bootstrap sample
testMatX

Construction of test data
matU

Matrix constructor functions
variance

Construct variance
plot.rfh

Plots
fixedPoint

Fixed Point Algorithm Infrastructure
mse

Compute the Mean Squared Error of an Estimator
update,rfh-method

Update a fitted object
fitrfh

Fitting Precedures
makeXY

makeXY
corSAR1-class

Correlation Structure
psiOne

psiOne
rfh

Robust Fay Herriot Model
score

Compute values of robust score functions