CRAN/E | slim

slim

Singular Linear Models for Longitudinal Data

Installation

About

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.

Key Metrics

Version 0.1.1
R ≥ 3.2.0
Published 2017-05-15 2510 days ago
Needs compilation? no
License GPL-3
CRAN checks slim results

Downloads

Yesterday 10 0%
Last 7 days 38 -27%
Last 30 days 187 -7%
Last 90 days 744 +26%
Last 365 days 2.526 -16%

Maintainer

Maintainer

Daniel Farewell

farewelld@cf.ac.uk

Authors

Daniel Farewell

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

slim: Singular Linear Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

slim archive

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