Package: averisk 1.0.3

averisk: Calculation of Average Population Attributable Fractions and Confidence Intervals

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.

Authors:John Ferguson [aut, cre]

averisk_1.0.3.tar.gz
averisk_1.0.3.zip(r-4.7-any)averisk_1.0.3.zip(r-4.6-any)averisk_1.0.3.zip(r-4.5-any)
averisk_1.0.3.tgz(r-4.6-any)averisk_1.0.3.tgz(r-4.5-any)
averisk_1.0.3.tar.gz(r-4.7-any)averisk_1.0.3.tar.gz(r-4.6-any)
averisk_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
averisk/json (API)

# Install 'averisk' in R:
install.packages('averisk', repos = c('https://johnfergusonnuig.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 1 packages 1 scripts 327 downloads 2 mentions 1 exports 1 dependencies

Last updated from:5a398607c5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK107
source / vignettesOK168
linux-releaseOK104
macos-releaseOK83
macos-oldrelOK81
windows-develOK67
windows-releaseOK66
windows-oldrelOK74
wasm-releaseOK103

Exports:getAF

Dependencies:MASS