functions for tabulation and plotting, as well some epidemiological

Title: Implements Hierarchical Bayesian Models for Epidemiological
Author: Matthew Branan, Marta Remmenga, Lori Gustafson, Jennifer Hoeting
Description: Hierarchical Bayesian models for use in disease
freedom and disease prevalence studies, designed
with epidemiological applications in mind. The models
themselves are in the spirit of those presented in Branscum
et al. (2006) (see package documentation for full
reference). The helper functions and methods were designed
to make implementation and processing of the complex model
output relatively simple in application.
Imports: epiR, compiler, shape, scales, coda

Title: Epidemiological Tool for Contact Tracing
person("Maria", "Noremark", role = c("aut")),
person("Stefan", "Widgren", role = c("aut", "cre"),
Description: Routines for epidemiological contact tracing
and visualisation of network of contacts.
Imports: graphics, methods, tools, utils
'plot.r' 'report.r' 'shortest-paths.r' 'show.r' 'trace.r'

person("Maria", "Noremark", role = c("aut"),
'plot.R' 'report.R' 'shortest-paths.R' 'show.R' 'trace.R'
Author: Maria Noremark [aut] (<https://orcid.org/0000-0003-2555-8476>),
Stefan Widgren [aut, cre] (<https://orcid.org/0000-0001-5745-2284>)

Title: Epidemiological tool for contact tracing.
Author: Stefan Widgren <stefan.widgren@sva.se> Maria Noremark
Description: Routines for epidemiological contact tracing and
Depends: R(>= 2.15.0), igraph, plyr, R2HTML, graphics, methods

Depends: R(>= 2.15.0), igraph0, plyr, R2HTML, graphics, methods

Depends: R(>= 2.15.1), igraph0, plyr, R2HTML, graphics, methods, Rcpp

Title: Epidemiological tool for contact tracing
Depends: R(>= 2.15.1), graphics, methods, Rcpp (>= 0.9.13)

Authors@R: c(person("Jean Pierre", "Decorps", role = c("aut", "cre"),
Description: Creates simple or stacked epidemic curves for daily, weekly or monthly incomes data.
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>

Description: Creates simple or stacked epidemic curves for hourly, daily, weekly or monthly incomes data.
Depends: ggplot2, dplyr, ISOweek, scales, timeDate