Calculation of Average Population Attributable Fractions and
Confidence Intervals
person("John", "Ferguson", email = "john.ferguson@nuigalway.ie",
role = c("aut", "cre"))
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.

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.

Financial Analysis Tools Using Data from 'Alpha Vantager'
person("Edward", "Wei", role = c("aut", "cre", "cph"), email = "edwwei2020@gmail.com")
To pull data from 'ALPHA VANTAGE' <https://www.alphavantage.co/>,
use the av_api_key() function from 'alphavantager' for inserting your API key.
This is a complement to the 'alphavantager' package from CRAN. Contains
commonly used quantitative finance tools. 'avfintools' stands for
'ALPHA VANTAGE' Finance Tools, as it depends on sourcing financial data from
the 'ALPHA VANTAGE' <https://www.alphavantage.co/documentation/> API.

c(person("Fatih Sunor", role = c("aut", "cre"),
email = "sunor@stanford.edu"))
Rank overlap is a metric to measure the relation between two sets of ranked items. This package is a convenience to calculate average rank overlap across different settings.