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slim  

Singular Linear Models for Longitudinal Data
View on CRAN: Click here


Download and install slim package within the R console
Install from CRAN:
install.packages("slim")

Install from Github:
library("remotes")
install_github("cran/slim")

Install by package version:
library("remotes")
install_version("slim", "0.1.3")



Attach the package and use:
library("slim")
Maintained by
Daniel Farewell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-07
Latest Update: 2017-05-15
Description:
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.
How to cite:
Daniel Farewell (2016). slim: Singular Linear Models for Longitudinal Data. R package version 0.1.3, https://cran.r-project.org/web/packages/slim. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-08-24 15:50), 0.1.0 (2016-11-07 17:22), 0.1.1 (2017-05-15 08:39), 0.1.2 (2026-08-23 12:40)
Other packages that cited slim R package
View slim citation profile
Other R packages that slim depends, imports, suggests or enhances
Complete documentation for slim
Functions, R codes and Examples using the slim R package
Some associated functions: coef.slim . compute_laurent . confint.slim . dialysis . fit_slim . fitted.slim . list_covariances . predict.slim . print.slim . residuals.slim . slim-package . slim.methods . slim . summary.slim . vcov.slim . 
Some associated R codes: data.R . list_covariances.R . methods.R . slim.R .  Full slim package functions and examples
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