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

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Documentation for package ‘sae.prop’ version 0.1.2

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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