averisk: Calculation of Average Population Attributable Fractions and Confidence Intervals
Version 1.0.3

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.

AuthorJohn Ferguson [aut, cre]
Date of publication2017-03-21 06:50:31 UTC
MaintainerJohn Ferguson <john.ferguson@nuigalway.ie>
LicenseCC0
Version1.0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("averisk")

Popular man pages

averisk: averisk: Calculation of Average Population Attributable...
getAF: Calculate average attributable fractions
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All man pages Function index File listing

Man pages

averisk: averisk: Calculation of Average Population Attributable...
getAF: Calculate average attributable fractions

Functions

AF_exact Source code
affun Source code
affun_ci Source code
affun_temp Source code
averisk Man page
averisk-package Man page
create_frame Source code
getAF Man page Source code
perm Source code
recode Source code

Files

NAMESPACE
R
R/internal.R
R/averisk.R
R/main.R
MD5
DESCRIPTION
man
man/getAF.Rd
man/averisk.Rd
averisk documentation built on May 19, 2017, 1:44 p.m.

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