VH_mean: Volz-Heckathorn estimation of the mean
In khabbazian/rdssim: A simple respondent-driven sampling simulator

Description Usage Arguments Details Value References

Volz-Heckathorn estimation of the population mean using the given sequence of the vertices.

1	VH_mean(chain, trait.vec, inclusion.probability)

`chain`	a sequence of node indices that represent the referral process.
`trait.vec`	is a vector of size number of nodes in the network with 0-1 values that for example indicate a specific trait.
`inclusion.probability`	is a vector of size number of nodes in the network with the corresponding stationary probabilities.

Let x_1, x_2, \cdots, x_n be a sequence of samples from a finite population. Furthermore, let \pi_1, \cdots, \pi_N denote the stationary distribution. Then \mu_VH = 1/(\sum_i=1^n 1/\pi_x_i) \sum_i=1^n x_i/\pi_x_i.

the Volz-Heckathorn estimation of the population mean.

Volz, Erik and Heckathorn, Douglas D (2008); “Probability based estimation theory for respondent driven sampling”, Journal of official statistics.

khabbazian/rdssim documentation built on May 20, 2019, 9:22 a.m.