Estimator of population size based on Link-Tracing Sample by Vincent and Thompson

get_study_est_linktrace(
  data,
  total = 2000,
  strata,
  gibbs_params = list(n_samples = 50L, chain_samples = 250L, chain_burnin = 50L),
  priors = list(p_n = 0L, p_l = 0.1, p_b = 1L),
  progress = FALSE,
  prefix = "lts",
  label = "link"
)

Arguments

data: pass through sample
total: integer giving the total size of the population
strata: string specifying column name of strata vector
gibbs_params: named list of parameters passed to Gibbs sampler
priors: named list of prior specification for population size, stratum membership and links. p_n is an integer specifying the power law prior for population size (0 = flat). p_l is a positive rational numeric vector of length n_strata specifying the dirichlet prior for stratum membership (0.1 = non-informative). p_b is an integer specifying the beta distribution prior for links (1 = non-informative).
progress: logical indicating whether to display progress bar. Defaults to FALSE
prefix: character string giving name of the column with RDS+ sampling indicator
label: character string giving label for the estimator

Value

Data frame of link tracing estimates for single study

References

Vincent, Kyle, and Steve Thompson. "Estimating population size with link-tracing sampling." Journal of the American Statistical Association 112.519 (2017): 1286-1295. Vincent, Kyle, and Steve Thompson. "Estimating the size and distribution of networked populations with snowball sampling." Journal of Survey Statistics and Methodology 10.2 (2022): 397-418.