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.


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slim 0.1.0

This is the first release of the slim package.

Reference manual

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install.packages("slim")

0.1.1 by Daniel Farewell, a month ago


Browse source code at https://github.com/cran/slim


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