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.zip(r-4.7-any)evidenceFactors_1.8.zip(r-4.6-any)
evidenceFactors_1.8.tar.gz(r-4.7-any)evidenceFactors_1.8.tar.gz(r-4.6-any)
evidenceFactors_1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
evidenceFactors/json (API)
| # Install 'evidenceFactors' in R: |
| install.packages('evidenceFactors', 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 from:83cb32d18c. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 114 | ||
| source / vignettes | OK | 157 | ||
| linux-release | OK | 116 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 63 | ||
| wasm-release | OK | 102 |
Exports:plotRejDecbyAssmplotRetentionArearetentionBrd
Dependencies:sensitivitymv
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 |