Khadija El Amrani <Khadija.Amrani@campus.lmu.de>, Ulrich
Mansmann <mansmann@ibe.med.uni-muenchen.de>
The package contains functions to support the visual
comparison of undirected graphs on the same node set.
pcalg, GeneNet, glasso, ALL, genefilter, hgu95av2.db
Orphaned on 2012-01-12 as maintainer address bounces,
maintainer is untraceable and co-author failed to reply.

Estimating and Displaying Population Attributable Fractions
person("John", "Ferguson",,"john.ferguson@nuigalway.ie", role = c("aut", "cre"))
Estimation and display of various types of population attributable fraction and impact fractions.  As well as the usual calculations of attributable fractions and impact fractions, functions are provided for continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions. See O'Connell and Ferguson (2022) <doi:10.1093/ije/dyac079>, Ferguson et al. (2020) <doi:10.1186/s13690-020-00442-x>, Ferguson et al. (2019) <doi:10.1186/s12874-019-0827-4>, Ferguson et al. (2019) <doi:10.1515/em-2019-0037>, as well the accompanying package vignette, for an overview of methods implemented.
boot, ggplot2, ggrepel, gridExtra, gtools, MASS, reshape2,
survival, splines, dplyr

person("John", "Ferguson",,"john.ferguson@universityofgalway.ie", role = c("aut", "cre"))
Estimation and display of various types of population attributable fraction and impact fractions.  As well as the usual calculations of attributable fractions and impact fractions, functions are provided for attributable fraction nomograms and fan plots, continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions.

person("John", "Coene", email = "jcoenep@gmail.com",
role = c("aut", "cre"))
Allows building an edge table from data frame of tweets, also provides function to build vertices (meta-data).

Allows building an edge table from data frame of tweets,
also provides function to build nodes and another create a temporal graph.