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gile.ss.weights

Weights using Giles SS estimator


Description

Weights using Giles SS estimator

Usage

gile.ss.weights(
  degs,
  N,
  number.ss.samples.per.iteration = 500,
  number.ss.iterations = 5,
  hajek = TRUE,
  SS.infinity = 0.04,
  se = FALSE,
  ...
)

Arguments

degs

subjects' degrees (i.e. network sizes).

N

Population size estimate.

number.ss.samples.per.iteration

The number of samples to use to estimate inclusion probabilities in a probability proportional to size without replacement design.

number.ss.iterations

number of iterations to use in giles SS algorithm.

hajek

Should the hajek estiamtor be used. If false, the HT estimator is used.

SS.infinity

The sample proportion, n/N, below which the computation of the SS weights should simplify to that of the RDS-II weights.

se

Should covariances be included.

...

unused


RDS

Respondent-Driven Sampling

v0.9-3
LGPL-2.1
Authors
Mark S. Handcock [aut, cre], Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [aut]
Initial release
2021-03-11

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