SAEval (version 1.0.0)

SAEval_example: Example dataset for the evaluation of Small Area Estimates

Description

SAEval_example contains a data.frame with direct and indirect estimates for unplunned domain among with their variance.

Usage

data(SAEval_example)

Format

SAEval_example is a data frame with 107 domains and 18 variables:

sa

domain of interest codes

nuts1

NUTS1 codes

nuts2

NUTS2 codes

nuts0

NUTS0 codes

y_d

direct estimated

mse_d

variance of direct estimates

y_syna

unit level synthetic estimates

mse_sa

MSE of unit level synthetic estimates

y_eblupa

unit level EBLUP estimates

mse_eba2

MSE of unit level EBLUP estimates

y_spaznr

unit level EBLUP estimates with spatial correlation of random effects

mse_spaznr

MSE of unit level EBLUP estimates with spatial correlation of random effects

y_eblupb

area level EBLUP estimates

mse_ebb

MSE of area level EBLUP estimates

y_synb

area level synthetic estimates

mse_sb

MSE of area level synthetic estimates

y_logis

unit level EBLUP type logit estimates

mse_log

MSE of unit level EBLUP type logit estimates

Examples

# Load example data
data(SAEval_example)
summary(SAEval_example)
# being the domain unplunned there are 7 areas without direct estimates
dim(SAEval_example[SAEval_example$y_d==0,])