SOR (0.23.1)
Estimation using Sequential Offsetted Regression.
http://cran.rproject.org/web/packages/SOR
Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique. Includes support for binary, count, and continuous data. The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates. The second regression uses this estimated probability to calculate the mean population response given covariates.
Maintainer:
Lee S. McDaniel
Author(s): Lee McDaniel [aut, cre], Jonathan Schildcrout [aut]
License: GPL3
Uses: Matrix
Released almost 2 years ago.
2 previous versions
 SOR_0.23.0. Released over 3 years ago.
 SOR_0.22. Released over 5 years ago.
Ratings
Overall: 

Documentation: 

Log in to vote.
Reviews
No one has written a review of SOR yet. Want to be the first? Write one now.
Related packages: … (20 best matches, based on common tags.)
Search for SOR on google, google scholar, rhelp, rdevel.
Visit SOR on R Graphical Manual.