Package: survSens 1.1.0

Rong Huang

survSens: Sensitivity Analysis with Time-to-Event Outcomes

Performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020) <doi:10.1002/sim.8672>.

Authors:Rong Huang, Ronghui Xu

survSens_1.1.0.tar.gz
survSens_1.1.0.zip(r-4.7-any)survSens_1.1.0.zip(r-4.6-any)survSens_1.1.0.zip(r-4.5-any)
survSens_1.1.0.tgz(r-4.6-any)survSens_1.1.0.tgz(r-4.5-any)
survSens_1.1.0.tar.gz(r-4.7-any)survSens_1.1.0.tar.gz(r-4.6-any)
survSens_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
survSens/json (API)

# Install 'survSens' in R:
install.packages('survSens', repos = c('https://rong0707.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rong0707/survsens/issues

Datasets:
  • comprdata - An example dataset with competing risks outcomes.
  • survdata - An example dataset with survival outcomes.
  • tau.res - Sensitivity analysis output example

On CRAN:

Conda:

3.18 score 3 stars 282 downloads 3 exports 54 dependencies

Last updated from:1d25c250ca. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK149
source / vignettesOK168
linux-releaseOK149
macos-releaseOK173
macos-oldrelOK278
windows-develOK97
windows-releaseOK95
windows-oldrelOK123
wasm-releaseOK117

Exports:comprSensitivityplotsenssurvSensitivity

Dependencies:backportscachemcheckmateclassclassIntclicpp11data.tableDBIdeldirdigeste1071farverfastmapFormulaformula.toolsgenericsggplot2gluegtableinterpisobandKernSmoothlabelinglatticelifecyclelubridatemagrittrMatrixmemoisemetRoperator.toolsplyrproxypurrrR6RColorBrewerRcppRcppEigenreshape2rlangs2S7scalessfstringistringrsurvivaltimechangeunitsvctrsviridisLitewithrwk