memoise, SnowballC, stringdist, tibble, udapi, yesno

Suggests: devtools, BiocInstaller, BiocManager, testthat

Suggests: usethis, BiocInstaller, BiocManager, testthat

Suggests: usethis, BiocManager, testthat, covr

for unintended meanings by querying 'Wiktionary' and Wikipedia.
memoise, SnowballC, stringdist, tibble, yesno
Packaged: 2022-07-10 18:40:17 UTC; gaborcsardi

person("Stéphane", "Guerrier", email = "stef.guerrier@gmail.com", role = c("aut","cre")),
person("James", "Balamuta", role = "aut"),
person("Gaetan", "Bakalli", role = "aut"),
person("Roberto", "Molinari", role = "aut"),
person("Yuming", "Zhang", role = "aut"),
person("Nathanael", "Claussen", role = "aut")
Description: Implements the allan variance and allan variance linear regression estimator for latent time series models. More details about the method can be found, for example, in Guerrier, S., Molinari, R., & Stebler, Y. (2016) <doi:10.1109/LSP.2016.2541867>.
Packaged: 2019-08-29 14:53:04 UTC; yumingzhang

person("Nathanael", "Claussen", role = "aut"),
person("Lionel", "Voirol", role = "ctb")

Title: Calculation of Average Population Attributable Fractions and
Authors@R: person("John", "Ferguson", email = "john.ferguson@nuigalway.ie",
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.

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