Some of the studies are actually going to sample non-hidden population through RDS (e.g. sex workers in age 18-21 in Recife (Brazil)) and then estimate the share of the hidden population within the RDS sample (e.g. sex workers who were underaged when they became sex workers). @macartan and I previously believed this won't be the case.
It seems that the current implementation in the package can already handle this (but it is complicated):
Define two "hidden" populations (e.g. 1. sex workers and 2. sex workers who were underaged before)
Get RDS sample on population 1
Use RDS package Sequential Sampling estimator (?RDS::RDS.SS.estimates) using status of membership in population 2
What we need:
[ ] Check that this is correct
[x] Implement RDS estimators for categorical variables in study level estimators
Some of the studies are actually going to sample non-hidden population through RDS (e.g. sex workers in age 18-21 in Recife (Brazil)) and then estimate the share of the hidden population within the RDS sample (e.g. sex workers who were underaged when they became sex workers). @macartan and I previously believed this won't be the case.
It seems that the current implementation in the package can already handle this (but it is complicated):
RDSpackage Sequential Sampling estimator (?RDS::RDS.SS.estimates) using status of membership in population 2What we need: