Package: FunSurv 1.0.0

Zifang Kong

FunSurv: Modeling Time-to-Event Data with Functional Predictors

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.

Authors:Zifang Kong [aut, cre], Sy Han Chiou [aut], Yu-Lun Liu [aut]

FunSurv_1.0.0.tar.gz
FunSurv_1.0.0.zip(r-4.7-any)FunSurv_1.0.0.zip(r-4.6-any)FunSurv_1.0.0.zip(r-4.5-any)
FunSurv_1.0.0.tgz(r-4.6-any)FunSurv_1.0.0.tgz(r-4.5-any)
FunSurv_1.0.0.tar.gz(r-4.7-any)FunSurv_1.0.0.tar.gz(r-4.6-any)
FunSurv_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FunSurv/json (API)

# Install 'FunSurv' in R:
install.packages('FunSurv', repos = c('https://zifangkong.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zifangkong/funsurv/issues

Datasets:
  • fdat - Simulated datasets for demonstration
  • sdat - Simulated datasets for demonstration

On CRAN:

Conda:

2.70 score 1 stars 3 scripts 209 downloads 9 exports 38 dependencies

Last updated from:303a3caca7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK145
source / vignettesOK166
linux-releaseOK161
macos-releaseOK230
macos-oldrelOK198
windows-develOK116
windows-releaseOK125
windows-oldrelOK83
wasm-releaseOK97

Exports:%2%%to%ar1_corAR1_FRAILTYbasesurvcheck_Recurdar1_cor.drhois.RecurRecur

Dependencies:abindclicodetoolscpp11dotCall64farverfieldsforeachfunDataggplot2gluegtableirlbaisobanditeratorslabelinglatticelifecyclemapsMASSMatrixMFPCAmgcvnlmeplyrR6RColorBrewerRcppRcppArmadilloredarlangS7scalesspamsplines2vctrsviridisLitewithr