epullenayegum/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>).
Getting started
Browse package contents
Package details |
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| Author | Eleanor Pullenayegum |
| Maintainer | Eleanor Pullenayegum <eleanor.pullenayegum@sickkids.ca> |
| License | GPL-3 |
| Version | 0.3.4 |
| URL | https://epullenayegum.github.io/IrregLong/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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