rdsII.estimator — rdsII.estimator • networkreporting

compute an estimate for the prevalence of a trait from an RDS sample, using the estimator described in TODO [Volz + Heckathorn '08]

Usage

rdsII.estimator(
  survey.data,
  d.hat.vals,
  y.vals,
  missing = "ignore",
  verbose = FALSE
)

survey.data: the dataframe with RDS survey results
d.hat.vals: the name or index of the column that contains each respondent's estimated degree
y.vals: the name or index of the column that contains the quantity of interest. if this is a dichotomous trait, it should be 0 / 1
missing: if "ignore", then proceed with the analysis without doing anything about missing values. if "complete.obs" then only use rows that have no missingness for the computations (listwise deletion). care must be taken in using this second option
verbose: if TRUE, print messages to the screen

the RDS-II estimate of the average of the quantity of interest

NOTE: we have no weights for now, right? RDS doesn't get used with weights?