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)FunSurv_1.0.0.zip(r-4.6)FunSurv_1.0.0.zip(r-4.5)
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 188 downloads 9 exports 38 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK147
source / vignettesOK178
linux-release-x86_64OK176
macos-release-arm64OK237
macos-oldrel-arm64OK346
windows-develOK133
windows-releaseOK110
windows-oldrelOK168
wasm-releaseOK116

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

Dependencies:abindclicodetoolscpp11dotCall64farverfieldsforeachfunDataggplot2gluegtableirlbaisobanditeratorslabelinglatticelifecyclemapsMASSMatrixMFPCAmgcvnlmeplyrR6RColorBrewerRcppRcppArmadilloredarlangS7scalesspamsplines2vctrsviridisLitewithr