Package: icpack 0.1.0

icpack: Survival Analysis of Interval-Censored Data

Survival analysis of interval-censored data with proportional hazards, and an explicit smooth estimate of the baseline log-hazard with P-splines.

Authors:Hein Putter [aut, cre], Paul Eilers [aut]

icpack_0.1.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
icpack/json (API)

# Install 'icpack' in R:
install.packages('icpack', repos = c('https://hputter.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • drugusers - Interval-censored drug users data
  • Ova - Ovarian cancer data

On CRAN:

Conda:

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

2.48 score 1 stars 231 downloads 6 exports 37 dependencies

Last updated from:e8e6f8258c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
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source / vignettesOK291
linux-release-x86_64OK209
macos-release-arm64OK183
macos-oldrel-arm64OK166
windows-develOK104
windows-releaseOK105
windows-oldrelOK108
wasm-releaseOK119

Exports:bbasefillplotget_input_icfiticfitinitrasterplot

Dependencies:backportscheckmateclicpp11dplyrfarvergenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMatrixmatrixStatspillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrsurvivaltibbletidyselectutf8vctrsviridisLitewithr

Parametric models with {icpack}
Introduction | Constant hazards | "Gompertz" models | Weibull models | References
Rendered fromSpecial.Rmdusingknitr::knitr

Last update: 2024-07-03
Started: 2024-07-03

Smooth modeling of interval-censored survival data with {icpack}
Introduction | Drug user data | Preliminaries | Using icfit | Plotting | Predicting | References
Rendered fromIntroduction.Rmdusingknitr::knitr

Last update: 2024-07-03
Started: 2024-07-03

Smooth modeling of right-censored survival data with {icpack}
Introduction | Ovarian cancer data | Preliminaries | Using icfit | Plotting | Predicting
Rendered fromOva.Rmdusingknitr::knitr

Last update: 2024-07-03
Started: 2024-07-03