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Papers: 10.1371/journal.pone.0185528

https://doi.org/10.1371/journal.pone.0185528

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

Cited by: 38
Author(s): Alexander D. Becker, Bryan T. Grenfell
Published: almost 8 years ago

Software Mentions 8

cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)
cran: pomp
Statistical Inference for Partially Observed Markov Processes
Papers that mentioned: 19
Very Likely Science (100)
cran: reshape2
Flexibly Reshape Data: A Reboot of the Reshape Package
Papers that mentioned: 421
Very Likely Science (95)
cran: rjags
Bayesian Graphical Models using MCMC
Papers that mentioned: 260
Very Likely Science (85)
cran: tsiR
An Implementation of the TSIR Model
Papers that mentioned: 4
Very Likely Science (83)
pypi: nsim
Simulate systems from ODEs or SDEs, analyze timeseries.
Papers that mentioned: 3
Very Likely Science (80)
pypi: pomp
Screen scraping and web crawling framework
Papers that mentioned: 19
Very Likely Science (65)