The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
Version: | 1.5 |
Depends: | R (≥ 2.01) |
Published: | 2018-11-19 |
DOI: | 10.32614/CRAN.package.epibasix |
Author: | Michael A Rotondi |
Maintainer: | Michael A Rotondi <mrotondi at yorku.ca> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
In views: | ClinicalTrials, Epidemiology |
CRAN checks: | epibasix results |
Reference manual: | epibasix.pdf |
Package source: | epibasix_1.5.tar.gz |
Windows binaries: | r-devel: epibasix_1.5.zip, r-release: epibasix_1.5.zip, r-oldrel: epibasix_1.5.zip |
macOS binaries: | r-release (arm64): epibasix_1.5.tgz, r-oldrel (arm64): epibasix_1.5.tgz, r-release (x86_64): epibasix_1.5.tgz, r-oldrel (x86_64): epibasix_1.5.tgz |
Old sources: | epibasix archive |
Please use the canonical form https://CRAN.R-project.org/package=epibasix to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.