slim-package: Singular linear models for longitudinal data.
In slim: Singular Linear Models for Longitudinal Data
Description
The slim package 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 of Diggle et al. (2007)
<doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
Details
The most important function is slim, whose formula interface is similar to
that of lm.
See Also
slim documentation built on May 2, 2019, 7:04 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The slim package 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 of Diggle et al. (2007) <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
Details
The most important function is slim, whose formula interface is similar to that of lm.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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