Other packages > Find by keyword >

averisk  

Calculation of Average Population Attributable Fractions and Confidence Intervals
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("averisk", "1.0.3")



Attach the package and use:
library("averisk")
Maintained by
John Ferguson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-29
Latest Update: 2017-03-21
Description:
Average population attributable fractions are calculated for a set of risk factors (either binary or ordinal valued) for both prospective and case- control designs. Confidence intervals are found by Monte Carlo simulation. The method can be applied to either prospective or case control designs, provided an estimate of disease prevalence is provided. In addition to an exact calculation of AF, an approximate calculation, based on randomly sampling permutations has been implemented to ensure the calculation is computationally tractable when the number of risk factors is large.
How to cite:
John Ferguson (2015). averisk: Calculation of Average Population Attributable Fractions and Confidence Intervals. R package version 1.0.3, https://cran.r-project.org/web/packages/averisk. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:19), 1.0.1 (2016-01-14 19:38), 1.0.2 (2016-06-20 20:21), 1.0 (2015-10-29 18:50)
Other packages that cited averisk R package
View averisk citation profile
Other R packages that averisk depends, imports, suggests or enhances
Complete documentation for averisk
Functions, R codes and Examples using the averisk R package
Some associated functions: averisk . getAF . 
Some associated R codes: averisk.R . internal.R . main.R .  Full averisk package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

genie  
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Includes the reference implementation of Genie - a hierarchical clustering algorithm that links two ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
correlation  
Methods for Correlation Analysis
Lightweight package for computing different kinds of correlations, such as partial correlations, Ba ...
Download / Learn more Package Citations See dependency  
cdlTools  
Tools to Download and Work with USDA Cropscape Data
Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA