Package: curesurv 0.1.2
curesurv: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.
Authors:
curesurv_0.1.2.tar.gz
curesurv_0.1.2.zip(r-4.5)curesurv_0.1.2.zip(r-4.4)curesurv_0.1.2.zip(r-4.3)
curesurv_0.1.2.tgz(r-4.5-any)curesurv_0.1.2.tgz(r-4.4-any)curesurv_0.1.2.tgz(r-4.3-any)
curesurv_0.1.2.tar.gz(r-4.5-noble)curesurv_0.1.2.tar.gz(r-4.4-noble)
curesurv_0.1.2.tgz(r-4.4-emscripten)curesurv_0.1.2.tgz(r-4.3-emscripten)
curesurv.pdf |curesurv.html✨
curesurv/json (API)
NEWS
| # Install 'curesurv' in R: |
| install.packages('curesurv', repos = c('https://jgoungounga.r-universe.dev', 'https://cloud.r-project.org')) |
- dataweib - Simulated data with vital status information from Weibull mixture cure model
- pancreas_data - Simulated pancreas data with vital status information
- testiscancer - Simulated testis cancer data using a cure model
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 25 days agofrom:4d61364e08. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 07 2025 |
| R-4.5-win | OK | Mar 07 2025 |
| R-4.5-mac | OK | Mar 07 2025 |
| R-4.5-linux | OK | Mar 07 2025 |
| R-4.4-win | OK | Mar 07 2025 |
| R-4.4-mac | OK | Mar 07 2025 |
| R-4.4-linux | OK | Mar 07 2025 |
| R-4.3-win | OK | Mar 07 2025 |
| R-4.3-mac | OK | Mar 07 2025 |
Exports:cumLexc_mulcuresurvz_alphaz_tau
Dependencies:bbmlebdsmatrixcliDerivFormulagluelatticelifecyclemagrittrMASSMatrixmvtnormnloptrnumDerivoptimxpracmarandtoolboxrlangrngWELLstatmodstringistringrsurvivalvctrs
How to estimate a new mixture cure model for increased risk of non cancer death
Rendered fromvignette_mixture.Rmdusingknitr::rmarkdownon Mar 07 2025.Last update: 2025-03-07
Started: 2024-09-18
Vignette_tneh
Rendered fromVignette_tneh.Rmdusingknitr::rmarkdownon Mar 07 2025.Last update: 2024-09-18
Started: 2024-09-18
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Akaike's An Information Criterion for cure models | AIC.curesurv |
| anova.curesurv function for likelihood-ratio test of two nested models from curesurv function | anova.curesurv |
| cumLexc_mul function | cumLexc_mul |
| Fitting cure models using curesurv | curesurv |
| Simulated data with vital status information from Weibull mixture cure model | dataweib |
| Simulated pancreas data with vital status information | pancreas_data |
| plot method for curesurv prediction objects | plot.predCuresurv |
| Prediction for a curesurv cure model | predict.curesurv |
| print a curesurv object | print.curesurv |
| summary for a curesurv cure model | summary.curesurv |
| Simulated testis cancer data using a cure model | testiscancer |
| z_alpha function identifying variables acting on alpha parameter | z_alpha |
| z_tau function identifying variables acting on tau parameter | z_tau |
