Author: Alfonso Iodice D' Enza [aut], Angelos Markos [aut, cre], Davide Buttarazzi [ctb]
Depends: corpcor, ggplot2, dummies, animation, ca
Description: Incremental Principal Component Analysis and Multiple Correspondence Analysis using incremental eigenvalue decomposition methods.

Description: Principal Component Analysis and Multiple Correspondence Analysis using incremental eigenvalue decomposition methods.

Author: Alfonso Iodice D' Enza [aut], Angelos Markos [aut, cre], Davide
Description: Incremental Multiple Correspondence Analysis and Principal

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

Depends: R (>= 2.10), ggplot2, animation

Title: Regression Model for Progressive Illness Death Data
Author: Leyla Azarang  Manuel Oviedo de la Fuente
Depends: R (>= 3.4.0), survival, foreach, doParallel
Description: Modeling of regression effects for transition probabilities in a

Author: Leyla Azarang and Manuel Oviedo de la Fuente
progressive illness-death model. Azarang, Scheike, and de Una-Alvarez (2017) <doi:10.1002/sim.7245>.

Title: Infectious Disease Model Library and Utilities
Description: 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
Suggests: testthat (>= 2.1.1), rmarkdown (>= 1.14), knitr (>= 1.23),