IrregLong: Analysis of Longitudinal Data with Irregular Observation Times (original) (raw)
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: | 0.4.0 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | survival, geeM, data.table, graphics |
| Suggests: | knitr, rmarkdown, nlme, MEMSS |
| Published: | 2024-09-06 |
| DOI: | 10.32614/CRAN.package.IrregLong |
| Author: | Eleanor Pullenayegum [aut, cre] |
| 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:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=IrregLongto link to this page.