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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: 2016-01-14
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 (2016). 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 06 Nov. 2024.
Previous versions and publish date:
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
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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
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