HR {survey} R Documentation

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.

HR(0.1)