Functions for demographic and epidemiological analysis in
the Lexis diagram, i.e. register and cohort follow-up data, in
particular representation, manipulation and simulation of multistate
data - the Lexis suite of functions, which includes interfaces to
'mstate', 'etm' and 'cmprsk' packages.
Also contains functions for Age-Period-Cohort and Lee-Carter
modeling and a function for interval censored data and some useful
functions for tabulation and plotting, as well some epidemiological
datasets.

Implements Hierarchical Bayesian Models for Epidemiological
Applications
Matthew Branan, Marta Remmenga, Lori Gustafson, Jennifer Hoeting
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.

Epidemiological Tool for Contact Tracing
c(
person("Maria", "Noremark", role = c("aut")),
person("Stefan", "Widgren", role = c("aut", "cre"),
email = "stefan.widgren@gmail.com"))
Routines for epidemiological contact tracing
and visualisation of network of contacts.
'Contacts.r' 'ContactTrace.r' 'EpiContactTrace-package.r'
'in-degree.r' 'ingoing-contact-chain.r' 'network-structure.r'
'network-summary.r' 'out-degree.r' 'outgoing-contact-chain.r'
'plot.r' 'report.r' 'shortest-paths.r' 'show.r' 'trace.r'
'tree.r'
Maria Noremark [aut],
Stefan Widgren [aut, cre]

c(
person("Maria", "Noremark", role = c("aut"),
comment = c(ORCID = "0000-0003-2555-8476")),
person("Stefan", "Widgren", role = c("aut", "cre"),
email = "stefan.widgren@gmail.com",
comment = c(ORCID = "0000-0001-5745-2284")))
'Contacts.R' 'ContactTrace.R' 'EpiContactTrace-package.R'
'in-degree.R' 'ingoing-contact-chain.R' 'network-structure.R'
'network-summary.R' 'out-degree.R' 'outgoing-contact-chain.R'
'plot.R' 'report.R' 'shortest-paths.R' 'show.R' 'trace.R'
'tree.R'