agfh (version 0.2.1)

null_gen: Generate Data with Normal Sampling Errors

Description

The Fay-Herriot small area model has a Normal latent variable and Normal observed response. This generates data according to that specification.

Usage

null_gen (M, p, D, lambda)

Value

A list containing

D

copy of argument `D`

beta

vector of length `p` latent coefficients

lambda

copy of argument `lambda`

X

matrix of independent variables

theta

vector of latent effects

Y

vector of responses

err

vector of sampling errors

name

name of sampling error distribution

Arguments

M

number of areal units

p

dimension of regressors i.e. \(x \in R^p\)

D

vector of precisions for response, length M

lambda

value of latent variance

Examples

  M <- 50
  p <- 3
  D <- rep(0.1, M)
  lamb <- 1/2
  dat <- null_gen(M, p, D, lamb)