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saeRobust (version 0.1.0)

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

351

Version

0.1.0

License

MIT + file LICENSE

Maintainer

Sebastian Warnholz

Last Published

May 16th, 2016

Functions in saeRobust (0.1.0)

fitrfh

Fitting Precedures
testMatX

Construction of test data
psiOne

psiOne
plot.rfh

Plots
fixedPoint

Fixed Point Algorithm Infrastructure
makeXY

makeXY
update,rfh-method

Update a fitted object
rfh

Robust Fay Herriot Model
mse

Compute the Mean Squared Error of an Estimator
corSAR1-class

Correlation Structure
variance

Construct variance
score

Compute values of robust score functions
matU

Matrix constructor functions
bootstrap

Fit model on Bootstrap sample