Package: curesurv 0.1.1

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:Juste Goungounga [aut, cre], Judith Breaud [aut], Olayide Boussari [aut], Valerie Jooste [aut]

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NEWS

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

Peer review:

Datasets:
  • 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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 157 downloads 4 exports 24 dependencies

Last updated 2 months agofrom:b16f66e2de. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:cumLexc_mulcuresurvz_alphaz_tau

Dependencies:bbmlebdsmatrixcliDerivFormulagluelatticelifecyclemagrittrMASSMatrixmvtnormnloptrnumDerivoptimxpracmarandtoolboxrlangrngWELLstatmodstringistringrsurvivalvctrs

How to estimate a new mixture cure model for increased risk of non cancer death

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Last update: 2024-09-18
Started: 2024-09-18

Vignette_tneh

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Last update: 2024-09-18
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