Package: mixcure 2.0

Yingwei Peng

mixcure: Mixture Cure Models

Implementation of parametric and semiparametric mixture cure models based on existing R packages. See details of the models in Peng and Yu (2020) <ISBN: 9780367145576>.

Authors:Yingwei Peng [aut, cre]

mixcure_2.0.tar.gz
mixcure_2.0.tar.gz(r-4.7-any)mixcure_2.0.tar.gz(r-4.6-any)
mixcure_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mixcure/json (API)

# Install 'mixcure' in R:
install.packages('mixcure', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • leukaemia - Data from leukaemia patients with bone marrow transplants

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 9 scripts 254 downloads 1 exports 71 dependencies

Last updated from:2c3ba4fa3a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK188
linux-release-x86_64OK193
wasm-releaseOK131

Exports:mixcure

Dependencies:assertthatbbmlebdsmatrixbootclicodetoolscpp11data.tableDBIdeSolvedigestdplyrfarverfastGHQuadflexsurvforeachfuturefuture.applygamgenericsggplot2globalsgluegtableisobanditeratorslabelinglatticelavalifecyclelistenvlsodamagrittrMASSMatrixmgcvminqamitoolsmstatemuhazmvtnormnlmenumDerivparallellypillarpkgconfigprogressrpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalesSQUAREMstatmodstringistringrsurveysurvivaltibbletidyrtidyselecttimeregutf8vctrsviridisLitewithr