IrregLong: Analysis of Longitudinal Data with Irregular Observation Times

Functions to help with analysis of longitudinal data featuring irregular observation times, where the observation times may be associated with the outcome process. There are functions to quantify the degree of irregularity, fit inverse-intensity weighted Generalized Estimating Equations (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>), perform multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>) and fit semi-parametric joint models (Liang Y (2009) <doi:10.1111/j.1541-0420.2008.01104.x>).

Version: 0.3.4
Depends: R (≥ 2.10)
Imports: survival, geepack, data.table, graphics
Suggests: knitr, rmarkdown, nlme, MEMSS
Published: 2022-02-21
Author: Eleanor Pullenayegum
Maintainer: Eleanor Pullenayegum <eleanor.pullenayegum at sickkids.ca>
License: GPL-3
URL: https://epullenayegum.github.io/IrregLong/
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: IrregLong results

Documentation:

Reference manual: IrregLong.pdf
Vignettes: Analysis of longitudinal data with irregular observation times

Downloads:

Package source: IrregLong_0.3.4.tar.gz
Windows binaries: r-devel: IrregLong_0.3.4.zip, r-release: IrregLong_0.3.4.zip, r-oldrel: IrregLong_0.3.4.zip
macOS binaries: r-release (arm64): IrregLong_0.3.4.tgz, r-release (x86_64): IrregLong_0.3.4.tgz, r-oldrel: IrregLong_0.3.4.tgz
Old sources: IrregLong archive

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