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: 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
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
View averisk citation profile
Other R packages that averisk depends, imports, suggests or enhances
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
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  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns