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

curesurv_0.1.2.tar.gz
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curesurv_0.1.2.tgz(r-4.6-any)curesurv_0.1.2.tgz(r-4.5-any)
curesurv_0.1.2.tar.gz(r-4.7-any)curesurv_0.1.2.tar.gz(r-4.6-any)
curesurv_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
curesurv/json (API)
NEWS

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

Conda:

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

3.38 score 2 stars 12 scripts 207 downloads 4 exports 24 dependencies

Last updated from:4d61364e08. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK192
source / vignettesOK252
linux-release-x86_64OK232
macos-release-arm64OK180
macos-oldrel-arm64OK158
windows-develOK155
windows-releaseOK157
windows-oldrelOK151
wasm-releaseOK116

Exports:cumLexc_mulcuresurvz_alphaz_tau

Dependencies:bbmlebdsmatrixcliDerivFormulagluelatticelifecyclemagrittrMASSMatrixmvtnormnloptrnumDerivoptimxpracmarandtoolboxrlangrngWELLstatmodstringistringrsurvivalvctrs

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