RM_theta_new_pred: Traditional EBLUP Estimator of Theta for new 'X' values

In agfh: Agnostic Fay-Herriot Model for Small Area Statistics

Traditional EBLUP Estimator of Theta for new X values

Description

Traditional EBLUP Estimator of Theta for new X values

Usage

  RM_theta_new_pred(X.new, beta.est)

Arguments

X.new	new independent data to be analyzed
beta.est	estimate of regression term for latent model

Details

Simply X'beta.est

Value

Returns a vector of estimates of theta.

Source

Marten Thompson [e-mail]

Examples

  X <- matrix(1:10, ncol=1)
  b <- 1
  RM_theta_new_pred(X, b)

agfh documentation built on July 9, 2023, 6:44 p.m.