Package: evidenceFactors 1.8

Bikram Karmakar
evidenceFactors: Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies
Provides tools for integrated sensitivity analysis of evidence factors in observational studies. When an observational study allows for multiple independent or nearly independent inferences which, if vulnerable, are vulnerable to different biases, we have multiple evidence factors. This package provides methods that respect type I error rate control. Examples are provided of integrated evidence factors analysis in a longitudinal study with continuous outcome and in a case-control study. Karmakar, B., French, B., and Small, D. S. (2019)<doi:10.1093/biomet/asz003>.
Authors:
evidenceFactors_1.8.tar.gz
evidenceFactors_1.8.tar.gz(r-4.5-noble)evidenceFactors_1.8.tar.gz(r-4.4-noble)
evidenceFactors_1.8.tgz(r-4.4-emscripten)evidenceFactors_1.8.tgz(r-4.3-emscripten)
evidenceFactors.pdf |evidenceFactors.html✨
evidenceFactors/json (API)
# Install 'evidenceFactors' in R: |
install.packages('evidenceFactors', repos = '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 years agofrom:83cb32d18c. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 27 2025 |
R-4.5-linux | OK | Mar 27 2025 |
R-4.4-linux | OK | Mar 27 2025 |
Exports:plotRejDecbyAssmplotRetentionArearetentionBrd
Dependencies:sensitivitymv
Citation
To cite package ‘evidenceFactors’ in publications use:
Karmakar B (2020). evidenceFactors: Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies. R package version 1.8, https://CRAN.R-project.org/package=evidenceFactors.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {evidenceFactors: Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies}, author = {Bikram Karmakar}, year = {2020}, note = {R package version 1.8}, url = {https://CRAN.R-project.org/package=evidenceFactors}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies | evidenceFactors-package evidenceFactors |
Gamma list for illustration of the use of the package. | Gamlist |
DNA damage from exposure to chromium | mtm |
p-value list for illustration of the use of the package. | Plist |
Plots labelling which assumption provides the evidence | plotRejDecbyAssm |
Plots the convex increasing retention area | plotRetentionArea |
Computes the Multiplicity Controlled Retention Set. | retentionBrd |