Package: BioProbability 1.0
Paula Saavedra-Nieves
BioProbability: Probability in Biostatistics
Several tools for analyzing diagnostic tests and 2x2 contingency tables are provided. In particular, positive and negative predictive values for a diagnostic tests can be calculated from prevalence, sensitivity and specificity values. For contingency tables, relative risk and odds ratio measures are estimated. Furthermore, confidence intervals are provided.
Authors:
BioProbability_1.0.tar.gz
BioProbability_1.0.tar.gz(r-4.5-noble)BioProbability_1.0.tar.gz(r-4.4-noble)
BioProbability_1.0.tgz(r-4.4-emscripten)BioProbability_1.0.tgz(r-4.3-emscripten)
BioProbability.pdf |BioProbability.html✨
BioProbability/json (API)
| # Install 'BioProbability' in R: |
| install.packages('BioProbability', 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 years agofrom:0c63749549. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-linux | OK | Dec 05 2024 |
Exports:oddsodds.ratiopredictive.valuerelative.risksensitivity.specificity
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Auxiliary function | input1 |
| Auxiliary function | input2 |
| Odds of a success | odds |
| Odds ratio calculation | odds.ratio |
| Positive and negative predictive values for a diagnostic test. | predictive.value |
| Relative risk calculation | relative.risk |
| Sensitivity and specificity for a diagnostic test. | sensitivity.specificity |