mdbrown/partlyconditional: Partly Conditional Logistic and Cox models
This package provides functions to fit partly conditional (PC) risk models, which are a class of predictive models that utilize long-term follow-up information to predict patients' risks of a future adverse outcome with repeatedly measured predictors over time. Please see the reference Zheng YZ, Heagerty PJ (2005) <doi: 10.1111/j.1541-0420.2005.00323.x> or Maziarz M, et. al. (2017) <doi:10.1111/biom.12562> for further details.
Getting started
Browse package contents
Package details |
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| Author | Marlena Maziarz, Yingye Zheng, Marshall Brown |
| Maintainer | Marshall Brown <mdbrown@fredhutch.org> |
| License | GPL-2 |
| Version | 2.0 |
| URL | http://mdbrown.github.io/partlyconditional/ https://github.com/mdbrown/partlycondtional |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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