The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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.pdf |
| Vignettes: |
slim: Singular Linear Models |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=slim to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.