Maximum likelihood estimation in respondent driven samples.
o Added regularization using Jeffrey's prior.
This version is a through redesign of the package and should be seen as a new package altogether.
Current capabilities include: o Inputs RDS file formats. o Optimization using coordinate-wise root finding. Fast and stable. o beta_k are estimated seperatly for each k. o Coefficient of discoverability can be recovered from beta_k estimates. o Continous time recruitment simulator. o Curitiba drug users data set included.
o First release