Abbott, S and Endo, A. 2020. idmodelr: Infectious Disease Model Library and Utilities. [Online]. The Comprehensive R Archive Network. Available from: https://cran.r-project.org/package=idmodelr
Abbott, S and Endo, A. idmodelr: Infectious Disease Model Library and Utilities [Internet]. The Comprehensive R Archive Network; 2020. Available from: https://cran.r-project.org/package=idmodelr
Abbott, S and Endo, A (2020). idmodelr: Infectious Disease Model Library and Utilities. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=idmodelr
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, libbi and EpiModel, idmodelr serves primarily as an educational resource. It is most comparable to epirecipes 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.
Keywords
Data capture method | Other |
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Date (Date published in a 3rd party system) | 11 June 2020 |
Language(s) of written materials | English |
Data Creators | Abbott, S and Endo, A |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 16 Aug 2021 10:02 |
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Last Modified | 16 Aug 2021 10:02 |
Publisher | The Comprehensive R Archive Network |