Package: sim.BA 0.1.0

Rishi Desai

sim.BA: Simulation-Based Bias Analysis for Observational Studies

Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.

Authors:Rishi Desai [aut, cre], Noah Greifer [aut]

sim.BA_0.1.0.tar.gz
sim.BA_0.1.0.tar.gz(r-4.5-noble)sim.BA_0.1.0.tar.gz(r-4.4-noble)
sim.BA_0.1.0.tgz(r-4.4-emscripten)sim.BA_0.1.0.tgz(r-4.3-emscripten)
sim.BA.pdf |sim.BA.html
sim.BA/json (API)
NEWS

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

Peer review:

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

2 exports 0.00 score 35 dependencies 534 downloads

Last updated 5 months agofrom:a7741fcd73. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-linuxOKAug 21 2024

Exports:create_parameterssimBA

Dependencies:backportschkclicobaltcolorspacecrayonfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepbapplypillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr

Simulation-based Bias Analysis (sim.BA)

Rendered fromsim.BA.Rmdusingknitr::rmarkdownon Aug 21 2024.

Last update: 2024-04-23
Started: 2024-04-23