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 <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
| Version: | 0.1.1 |
| 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 |
| Published: | 2017-05-15 |
| DOI: | 10.32614/CRAN.package.slim |
| Author: | Daniel Farewell [aut, cre] |
| Maintainer: | Daniel Farewell <farewelld at cf.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | slim results |
| Reference manual: | slim.html , slim.pdf |
| Vignettes: |
slim: Singular Linear Models (source, R code) |
| Package source: | slim_0.1.1.tar.gz |
| Windows binaries: | r-devel: slim_0.1.1.zip, r-release: slim_0.1.1.zip, r-oldrel: slim_0.1.1.zip |
| macOS binaries: | r-release (arm64): slim_0.1.1.tgz, r-oldrel (arm64): slim_0.1.1.tgz, r-release (x86_64): slim_0.1.1.tgz, r-oldrel (x86_64): slim_0.1.1.tgz |
| Old sources: | slim archive |
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