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epibasix  

Elementary Epidemiological Functions for Epidemiology and Biostatistics
View on CRAN: Click here


Download and install epibasix package within the R console
Install from CRAN:
install.packages("epibasix")

Install from Github:
library("remotes")
install_github("cran/epibasix")

Install by package version:
library("remotes")
install_version("epibasix", "1.5")



Attach the package and use:
library("epibasix")
Maintained by
Michael A Rotondi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-07-28
Latest Update: 2018-11-19
Description:
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.
How to cite:
Michael A Rotondi (2007). epibasix: Elementary Epidemiological Functions for Epidemiology and Biostatistics. R package version 1.5, https://cran.r-project.org/web/packages/epibasix. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.0 (2007-07-28 18:49), 0.1 (2007-10-16 20:38), 1.1 (2012-10-29 08:58), 1.3 (2012-11-15 22:51)
Other packages that cited epibasix R package
View epibasix citation profile
Other R packages that epibasix depends, imports, suggests or enhances
Complete documentation for epibasix
Functions, R codes and Examples using the epibasix R package
Some associated functions: corXY . diffDetect . epi2x2 . epiKappa . epiTTest . mcNemar . n4means . n4props . sensSpec . univar . 
Some associated R codes: corXY.R . diffDetect.R . epi2x2.R . epiKappa.R . epiTTest.R . mcNemar.R . n4means.R . n4props.R . sensSpec.R . univar.R .  Full epibasix package functions and examples
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