R (>= 2.10), ggplot2, animation, dummies

Regression Model for Progressive Illness Death Data
Leyla Azarang  Manuel Oviedo de la Fuente
R (>= 3.4.0), survival, foreach, doParallel
Modeling of regression effects for transition probabilities in a
progressive illness-death model.

Leyla Azarang and Manuel Oviedo de la Fuente
Modeling of regression effects for transition probabilities in a
progressive illness-death model. Azarang, Scheike, and de Una-Alvarez (2017) <doi:10.1002/sim.7245>.

Infectious Disease Model Library and Utilities
Explore a range of infectious disease models in a consistent framework.
The primary aim of 'idmodelr' is to provide a library of infectious disease models
for researchers, students, and other interested individuals. These models can be
used to understand the underlying dynamics and as a reference point when developing
models for research. 'idmodelr' also provides a range of utilities. These include: plotting
functionality; a simulation wrapper; scenario analysis tooling; an interactive
dashboard; tools for handling mult-dimensional models; and both model and parameter
look up tables. Unlike other modelling packages such as 'pomp' (<https://kingaa.github.io/pomp/>), 'libbi' (<http://libbi.org>)
and 'EpiModel' (<http://www.epimodel.or>), 'idmodelr' serves primarily as an educational
resource. It is most comparable to epirecipes (<http://epirecip.es/epicookbook/chapters/simple>)
but provides a more consistent framework, an R based workflow, and additional utility tooling.
After users have explored model dynamics with 'idmodelr' they may then
implement their model using one of these packages in order to utilise the model
fitting tools they provide.  For newer modellers, this package reduces the barrier
to entry by containing multiple infectious disease models, providing a consistent
framework for simulation and visualisation, and signposting towards other, more
research focussed, resources.

c(
person(given = "Sam Abbott",
role = c("aut", "cre"),
email = "contact@samabbott.co.uk",
comment = c(ORCID = "0000-0001-8057-8037")),
person(given = "Akira Endo",
role = c("aut"),
email = "akira.endo@lshtm.ac.uk",
comment = c(ORCID = "0000-0001-6377-7296")))
Explore a range of infectious disease models in a consistent framework.
The primary aim of 'idmodelr' is to provide a library of infectious disease models
for researchers, students, and other interested individuals. These models can be
used to understand the underlying dynamics and as a reference point when developing
models for research. 'idmodelr' also provides a range of utilities. These include: plotting
functionality; a simulation wrapper; scenario analysis tooling; an interactive
dashboard; tools for handling mult-dimensional models; and both model and parameter
look up tables. Unlike other modelling packages such as 'pomp' (<https://kingaa.github.io/pomp/>), 'libbi' (<http://libbi.org>)
and 'EpiModel' (<http://www.epimodel.org>), 'idmodelr' serves primarily as an educational
resource. It is most comparable to epirecipes (<http://epirecip.es/epicookbook/chapters/simple>)
but provides a more consistent framework, an R based workflow, and additional utility tooling.
After users have explored model dynamics with 'idmodelr' they may then
implement their model using one of these packages in order to utilise the model
fitting tools they provide.  For newer modellers, this package reduces the barrier
to entry by containing multiple infectious disease models, providing a consistent
framework for simulation and visualisation, and signposting towards other, more
research focussed, resources.