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) , and are extensions of the linear increments model to general longitudinal data.


slim 0.1.1

This version improves error handling, corrects a bug concerning the Pascal covariance structure, and fixes a few mistakes in the accompanying vignette.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.1 by Daniel Farewell, 10 months ago

Browse source code at

Authors: Daniel Farewell [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, MASS

Depends on data.table

Suggests lme4, jmcm, gee, ggplot2, testthat, knitr, rmarkdown

See at CRAN