Estimation in Respondent Driven Samples

Maximum likelihood estimation in respondent driven samples.


New in version 0.92.1

New in version 0.91

o Added regularization using Jeffrey's prior.

New in version 0.9

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.

New in version 0.67

o First release

Reference manual

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0.95.4 by Jonathan Rosenblatt, 4 years ago

Browse source code at

Authors: Jonathan Rosenblatt

Documentation:   PDF Manual  

GPL-2 license

Imports MASS, Matrix

Suggests testthat

See at CRAN