RM_theta_eblup: Traditional EBLUP Estimator of Theta

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

Traditional EBLUP Estimator of Theta

Description

Traditional EBLUP Estimator of Theta

Usage

  RM_theta_eblup(X, Y, D, theta.var.est)

Arguments

X	observed independent data to be analyzed
Y	observed dependent data to be analyzed
D	known precisions of response Y
theta.var.est	estimate of variance term for latent model; if NA, will automatically use method-of-moments

Details

Traditional EBLUP estimator of latent values theta.

Value

Returns a vector of estimates of theta.

Source

Marten Thompson [e-mail]

Examples

  X <- matrix(1:10, ncol=1)
  Y <- 2*X + rnorm(10, sd=1.1)
  D <- rep(1, 10)
  th.var.est <- 0.1
  RM_theta_eblup(X, Y, D, th.var.est)

  RM_theta_eblup(X, Y, D)

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