HR: Wrappers for specifying PPS designs

In survey: Analysis of Complex Survey Samples

Wrappers for specifying PPS designs

Description

The Horvitz-Thompson estimator and the Hartley-Rao approximation require information in addition to the sampling probabilities for sampled individuals. These functions allow this information to be supplied.

Usage

HR(psum=NULL, strata = NULL)
ppsmat(jointprob, tolerance = 1e-04)
ppscov(probcov, weighted=FALSE)

Arguments

psum	The sum of squared sampling probabilities for the population, divided by the sample size, as a single number or as a vector for stratified sampling
strata	Stratum labels, of the same length as psum, if psum is a vector
jointprob	Matrix of pairwise sampling probabilities for the sampled individuals
tolerance	Tolerance for deciding that the covariance of sampling indicators is zero
probcov	Covariance of the sampling indicators (often written 'Delta'), or weighted covariance if weighted=TRUE
weighted	If TRUE, the probcov argument is the covariance divided by pairwise sampling probabilities

Value

An object of class HR,ppsmat, ppsdelta, or ppsdcheck suitable for supplying as the pps argument to svydesign.

See Also

election for examples of PPS designs

Examples

HR(0.1)

survey documentation built on May 29, 2024, 12:05 p.m.