R: Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation

# Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation

## Documentation for package ‘sae.prop’ version 0.1.2

- DESCRIPTION file.

## Help Pages

datasaem | Data generated based on Multivariate Fay Herriot Model with Additive Logistic Transformation
datasaem.ns | Data generated based on Multivariate Fay Herriot Model with Additive Logistic Transformation with Non-Sampled Cases
datasaeu | Data generated based on Univariate Fay Herriot Model with Additive Logistic Transformation
datasaeu.ns | Data generated based on Univariate Fay Herriot Model with Additive Logistic Transformation with Non-Sampled Cases
mseFH.mprop | Parametric Bootstrap Mean Squared Error of EBLUPs based on a Multivariate Fay Herriot model with Additive Logistic Transformation
mseFH.ns.mprop | Parametric Bootstrap Mean Squared Error of EBLUPs based on a Multivariate Fay Herriot model with Additive Logistic Transformation for Non-Sampled Data
mseFH.ns.uprop | Parametric Bootstrap Mean Squared Error of EBLUPs based on a Univariate Fay Herriot model with Additive Logistic Transformation for Non-Sampled Data
mseFH.uprop | Parametric Bootstrap Mean Squared Error of EBLUPs based on a Univariate Fay Herriot model with Additive Logistic Transformation
sae.prop | sae.prop : Small Area Estimation for Proportion using Fay Herriot Models with Additive Logistic Transformation
saeFH.mprop | EBLUPs based on a Multivariate Fay Herriot model with Additive Logistic Transformation
saeFH.ns.mprop | EBLUPs based on a Multivariate Fay Herriot model with Additive Logistic Transformation for Non-Sampled Data
saeFH.ns.uprop | EBLUPs based on a Univariate Fay Herriot model with Additive Logistic Transformation for Non-Sampled Data
saeFH.uprop | EBLUPs based on a Univariate Fay Herriot model with Additive Logistic Transformation