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 0.1.3

The slim package fits singular linear models to longitudinal data, particularly when there may be a relationship between the number and timings of the measurements and the observations themselves.

Reference manual

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install.packages("slim")

0.1.3 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 data.table, stats, MASS

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


Imported by CIMEHR.


See at CRAN