Details

Autor(en) / Beteiligte

• Becker, Alexander D
• Grenfell, Bryan T
• Nishiura, Hiroshi

Titel

tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics

Ist Teil von

• PloS one, 2017-09, Vol.12 (9), p.e0185528-e0185528

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2017

Quelle

MEDLINE

Beschreibungen/Notizen

• tsiR is an open source software package implemented in the R programming language designed to analyze infectious disease time-series data. The software extends a well-studied and widely-applied algorithm, the time-series Susceptible-Infected-Recovered (TSIR) model, to infer parameters from incidence data, such as contact seasonality, and to forward simulate the underlying mechanistic model. The tsiR package aggregates a number of different fitting features previously described in the literature in a user-friendly way, providing support for their broader adoption in infectious disease research. Also included in tsiR are a number of diagnostic tools to assess the fit of the TSIR model. This package should be useful for researchers analyzing incidence data for fully-immunizing infectious diseases.