slim: Singular Linear Models for Longitudinal Data

Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.

Package details

AuthorDaniel Farewell [aut, cre]
MaintainerDaniel Farewell <>
Package repositoryView on CRAN
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slim documentation built on May 2, 2019, 7:04 a.m.