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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:a7741fcd73. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 21 2024 |
R-4.5-linux | OK | Aug 21 2024 |
Exports:create_parameterssimBA
Dependencies:backportschkclicobaltcolorspacecrayonfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepbapplypillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create parameters for data-generating models | create_parameters |
Plot the results of a simulation | plot.simBA |
Run a simulation to assess due to unmeasured confounding | simBA |