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.

Documentation

Manual: slim.pdf
Vignette: slim: Singular Linear Models

Maintainer: Daniel Farewell <farewelld at cf.ac.uk>

Author(s): Daniel Farewell*

Install package and any missing dependencies by running this line in your R console:

install.packages("slim")

Depends R (>= 3.2.0), data.table(>=1.9.6)
Imports stats, MASS(>=7.3)
Suggests lme4(>=1.1), jmcm(>=0.1.6.0), gee(>=4.13-19), ggplot2(>=2.1.0), testthat(>=1.0.2), knitr, rmarkdown
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Package slim
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Version 0.1.1
Published 2017-05-15
License GPL-3
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NeedsCompilation no
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Package source slim_0.1.1.tar.gz