# Compute MSPE Estimates for the Fay Herriot Model and Nested Error Regression Model

## Documentation for package ‘saeMSPE’ version 1.0

- DESCRIPTION file.

## Help Pages

saeMSPE-package | Compute MSPE Estimates for the Fay Herriot Model and Nested Error Regression Model
mspeFHdb | Compute MSPE through double bootstrap method for Fay Herriot model
mspeFHjack | Compute MSPE through Jackknife method for Fay Herriot model
mspeFHlnr | Compute MSPE through linearization method for Fay Herriot model
mspeFHmcjack | Compute MSPE through Monte-Carlo jackknife method for Fay Herriot model
mspeFHpb | Compute MSPE through parameter bootstrap method for Fay Herriot model
mspeFHsumca | Compute MSPE through Sumca method for Fay Herriot model
mspeNERdb | Compute MSPE through double bootstrap(DB) method for Nested error regression model
mspeNERjack | Compute MSPE through resampling method for Nested error regression model
mspeNERlnr | Compute MSPE through linearization method for Nested error regression model
mspeNERmcjack | Compute MSPE through resampling method for Nested error regression model
mspeNERpb | Compute MSPE through parameter bootstrap method for Nested error regression model
mspeNERsumca | Compute MSPE through Sumca method for Nested error regression model
saeMSPE | Compute MSPE Estimates for the Fay Herriot Model and Nested Error Regression Model
varner | Estimates of the variance component using several methods for Nested error regression model.
varOBP | Estimate of the variance component using best predictive estimation method (BPE, also called OBP method) for Fay Herriot model.