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FunSurv (version 1.0.0)

Modeling Time-to-Event Data with Functional Predictors

Description

A collection of methods for modeling time-to-event data using both functional and scalar predictors. It implements functional data analysis techniques for estimation and inference, allowing researchers to assess the impact of functional covariates on survival outcomes, including time-to-single event and recurrent event outcomes.

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Install

install.packages('FunSurv')

Monthly Downloads

144

Version

1.0.0

License

MIT + file LICENSE

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Maintainer

Zifang Kong

Last Published

March 17th, 2025

Functions in FunSurv (1.0.0)

plot.funsurv

Plot method for 'funsurv' objects
reexports

Objects exported from other packages
basesurv

A function to obtain the baseline survival function
simDat

Simulated datasets for demonstration
AR1_FRAILTY

Fit a Functional Regression with AutoregressIve fraiLTY (FRAILTY) model for Recurrent Event Data
dar1_cor.drho

First derivative of AR(1) correlation matrix with respect to the auto-regressive coefficient
ar1_cor

Construct an AR(1) correlation matrix