R_hat: Calculate the Horvitz-Thompson Ratio Estimator

In ksauby/ACS: Adaptive Cluster Sampling

Calculate the Horvitz-Thompson Ratio Estimator

Description

R_hat is calculated by dividing the Horvitz-Thompson estimator, Tau_hat_z by Tau_hat_x. See p. 77, Thompson (2002). THERE CANNOT BE NAS IN X OR Y?

Usage

R_hat(y, x, N, n1, m_vec, replace = "FALSE")

Arguments

y	The variable of interest, y. Must be a numeric vector. The criterion that determines whether adaptive cluster sampling takes place is based on this variable.
x	A vector of values for variable $x$, which is auxiliary data about the variable of interest $y$.
N	Population size.
n1	An integer giving the initial sample size (e.g., a simple random sample).
m_vec	Vector of values m for the set of units in a sample, of length n1. Each m value within the vector m_vec denotes the number of units satisfying the ACS criterion for the network i to which the unit belongs.
replace	Whether sampling should be done with or without replacement. Defaults to FALSE.

ksauby/ACS documentation built on Aug. 18, 2022, 3:33 a.m.