Package: geecure 1.0-6

geecure: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations

Features the marginal parametric and semi-parametric proportional hazards mixture cure models for analyzing clustered survival data with a possible cure fraction. A reference is Yi Niu and Yingwei Peng (2014) <doi:10.1016/j.jmva.2013.09.003>.

Authors:Yi Niu [aut, cre], Hui Song [ctb], Xiaoguang Wang [ctb], Yingwei Peng [aut, ctb]

geecure_1.0-6.tar.gz
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geecure_1.0-6.tgz(r-4.6-any)geecure_1.0-6.tgz(r-4.5-any)
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
geecure/json (API)

# Install 'geecure' in R:
install.packages('geecure', repos = c('https://yiniu06.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • bmt - Bone marrow transplantation data
  • smoking - A Smoking Cessation Data
  • tonsil - Multi-Center Clinical Trial of Tonsil Carcinoma
  • tonsil_bootsample - A bootstrap sample for tonsil data

On CRAN:

Conda:

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

1.00 score 4 scripts 315 downloads 12 exports 27 dependencies

Last updated from:5c353373f8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK168
linux-releaseOK136
macos-releaseOK170
macos-oldrelOK176
windows-develOK90
windows-releaseOK94
windows-oldrelOK104
wasm-releaseOK80

Exports:basesurvemesesgeebtgeecuregeecure2geegainitial_Lambdaprint.geecureprint.geecure2varestvarest2

Dependencies:backportsbroomclicpp11dplyrgeepackgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6rlangstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr