mdbrown/partlyconditional: Partly Conditional Logistic and Cox models
Version 0.2

This package provides functions to fit partly conditional (PC) risk models, which are a class of predictive models often used in medical contexts where long-term follow-up is available and interest lies in predicting patients' risks for a future adverse outcome using repeatedly measured predictors over time. Please see the reference Zheng YZ, Heagerty PJ (2005) or Maziarz M, et. al. (2017) for further details.

Getting started

Package details

AuthorMarlena Maziarz, Yingye Zheng, Marshall Brown
MaintainerMarshall Brown <[email protected]>
LicenseGPL-2
Version0.2
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 Nov. 9, 2017, 3:19 p.m.