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slim

Singular Linear Models for Longitudinal Data

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 slim_0.1.1.tar.gz 315.2 KiB
0.1.1 rolling linux/noble R-4.5 slim_0.1.1.tar.gz 315.4 KiB
0.1.1 rolling source/ R- slim_0.1.1.tar.gz 278.0 KiB
0.1.1 latest linux/jammy R-4.5 slim_0.1.1.tar.gz 315.2 KiB
0.1.1 latest linux/noble R-4.5 slim_0.1.1.tar.gz 315.4 KiB
0.1.1 latest source/ R- slim_0.1.1.tar.gz 278.0 KiB
0.1.1 2026-04-26 source/ R- slim_0.1.1.tar.gz 278.0 KiB
0.1.1 2026-04-23 source/ R- slim_0.1.1.tar.gz 278.0 KiB
0.1.1 2026-04-09 windows/windows R-4.5 slim_0.1.1.zip 319.1 KiB
0.1.1 2025-04-20 source/ R- slim_0.1.1.tar.gz 278.0 KiB

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