Package: epibasix 1.5
Michael A Rotondi
epibasix: Elementary Epidemiological Functions for Epidemiology and Biostatistics
Contains elementary tools for analysis of common epidemiological problems, ranging from sample size estimation, through 2x2 contingency table analysis and basic measures of agreement (kappa, sensitivity/specificity). Appropriate print and summary statements are also written to facilitate interpretation wherever possible. Source code is commented throughout to facilitate modification. The target audience includes advanced undergraduate and graduate students in epidemiology or biostatistics courses, and clinical researchers.
Authors:
epibasix_1.5.tar.gz
epibasix_1.5.zip(r-4.5)epibasix_1.5.zip(r-4.4)epibasix_1.5.zip(r-4.3)
epibasix_1.5.tgz(r-4.4-any)epibasix_1.5.tgz(r-4.3-any)
epibasix_1.5.tar.gz(r-4.5-noble)epibasix_1.5.tar.gz(r-4.4-noble)
epibasix_1.5.tgz(r-4.4-emscripten)epibasix_1.5.tgz(r-4.3-emscripten)
epibasix.pdf |epibasix.html✨
epibasix/json (API)
| # Install 'epibasix' in R: |
| install.packages('epibasix', repos = c('https://epiverse-connect.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 6 years agofrom:fd482fd325. Checks:OK: 7. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 10 2024 |
| R-4.5-win | OK | Oct 10 2024 |
| R-4.5-linux | OK | Oct 10 2024 |
| R-4.4-win | OK | Oct 10 2024 |
| R-4.4-mac | OK | Oct 10 2024 |
| R-4.3-win | OK | Oct 10 2024 |
| R-4.3-mac | OK | Oct 10 2024 |
Exports:corXYdiffDetectepi2x2epiKappaepiTTestmcNemarn4meansn4propsprint.corXYprint.diffDetectprint.epi2x2print.epiKappaprint.epiTTestprint.mcNemarprint.n4meansprint.n4propsprint.sensSpecprint.univarsensSpecsummary.corXYsummary.diffDetectsummary.epi2x2summary.epiKappasummary.epiTTestsummary.mcNemarsummary.n4meanssummary.n4propssummary.sensSpecsummary.univarunivar
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Correlation of Two Vectors | corXY print.corXY summary.corXY |
| Mean Difference Detetion Tool | diffDetect Mean Difference print.diffDetect summary.diffDetect |
| Epidemiological 2x2 Contingency Table Analysis Tool | Contingency Table epi2x2 print.epi2x2 summary.epi2x2 |
| Computation of the Kappa Statistic for Agreement Between Two Raters | epiKappa print.epiKappa summary.epiKappa |
| Epidemiological T-Test Function | epiTTest print.epiTTest summary.epiTTest |
| Pair-Matched Analysis Tool | mcNemar print.mcNemar summary.mcNemar |
| Number of Subjects Required for a Randomized Trial with a Continuous Outcome | n4means print.n4means summary.n4means |
| Number of Subjects Required for a Randomized Trial with Binary Outcomes | n4props print.n4props summary.n4props |
| Sensitivity and Specificity Analysis of a 2x2 Matrix | print.sensSpec sensSpec summary.sensSpec |
| Univariate Analysis of a Single Variable | print.univar summary.univar univar |