rdsII.estimator: rdsII.estimator

In networkreporting: Tools for using Network Reporting Estimators

Description

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)

Arguments

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

Details

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

Value

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

networkreporting documentation built on May 2, 2019, 1:52 p.m.