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

Package details

AuthorMarlena Maziarz, Yingye Zheng, Marshall Brown
MaintainerMarshall Brown <[email protected]>
LicenseGPL-2
Version2.0
URL http://mdbrown.github.io/partlyconditional/ https://github.com/mdbrown/partlycondtional
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mdbrown/partlyconditional")
mdbrown/partlyconditional documentation built on July 13, 2018, 4:29 p.m.