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

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

Peer review:

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:

3.18 score 3 stars 111 downloads 3 exports 63 dependencies

Last updated 1 years agofrom:1d25c250ca. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:comprSensitivityplotsenssurvSensitivity

Dependencies:backportscachemcheckmateclassclassIntclicolorspacecpp11data.tableDBIdeldirdigeste1071fansifarverfastmapFormulaformula.toolsgenericsggplot2gluegtableinterpisobandKernSmoothlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemetRmgcvmunsellnlmeoperator.toolspillarpkgconfigplyrproxypurrrR6RColorBrewerRcppRcppEigenreshape2rlangs2scalessfstringistringrsurvivaltibbletimechangeunitsutf8vctrsviridisLitewithrwk