Package: tvcure 0.6.6

tvcure: Additive Cure Survival Model with Time-Varying Covariates

Fit of a double additive cure survival model with time-varying covariates. The additive terms in the long- and short-term survival submodels, modelling the cure probability and the event timing for susceptible units, are estimated using Laplace P-splines. For more details, see Lambert and Kreyenfeld (2025) <doi:10.1093/jrsssa/qnaf035>.

Authors:Philippe Lambert [aut, cre]

tvcure_0.6.6.tar.gz
tvcure_0.6.6.zip(r-4.7)tvcure_0.6.6.zip(r-4.6)tvcure_0.6.6.zip(r-4.5)
tvcure_0.6.6.tgz(r-4.6-any)tvcure_0.6.6.tgz(r-4.5-any)
tvcure_0.6.6.tar.gz(r-4.7-any)tvcure_0.6.6.tar.gz(r-4.6-any)
tvcure_0.6.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
tvcure/json (API)

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

Bug tracker:https://github.com/plambertuliege/tvcure/issues

On CRAN:

Conda:

2.70 score 1 stars 2 scripts 540 downloads 22 exports 11 dependencies

Last updated from:b34fd5b5a4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK142
linux-release-x86_64OK130
macos-release-arm64OK95
macos-oldrel-arm64OK95
windows-develOK89
windows-releaseOK91
windows-oldrelOK91
wasm-releaseOK100

Exports:additive.tvcureAIC.tvcureBIC.tvcurecenteredBasis.genDesignFormuladeviance.tvcureEDFlogEvidlogEvid.tvcurePcal.funplot.tvcureplotRegionpredict.tvcureprint.tvcureqknotssshow_cshow_wsimulateTVcureDatasimulateTVcureData2testStattvcure

Dependencies:cubicBsplineslatticeMASSMatrixmgcvnlmeRcppRcppArmadilloRcppParallelRfastzigg