Additive Cure Survival Model with Time-Varying Covariates
Overview
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.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 23 (3 internal)
- Examples that run
- 19%3 run in a plain check · 13 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 40%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 78%
Downloads
Repository
Stars over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/plambertuliege/tvcure on 2026-10-21.
Dependencies
Installing tvcure adds 6 packages (6 with compiled code, 3.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, RcppParallel 744 KB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.6.6Latest2025-04-07 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-04-07
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 346 KB
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