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@@ -39,7 +39,7 @@ classes - is yet to be fixed. The eventual stable output type must allow
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users to conveniently access the epidemic trajectory data, identify and
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filter intervention scenarios for comparisons among them, and allow
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interoperability with data science tools such as the
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[Tidyverse](https://www.tidyverse.org/).
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[Tidyverse](https://tidyverse.org/).
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## Package architecture
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[`deSolve::lsoda()`](https://rdrr.io/pkg/deSolve/man/lsoda.html) from
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the [*deSolve* package](https://cran.r-project.org/package=deSolve).
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We have adapted this approach to use the R package
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[*odin*](https://cran.r-project.org/web/packages/odin/index.html). The
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advantage of *odin* is that it generates systems of ordinary
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differential equations (ODE) and integrates them, using a
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domain-specific language (DSL). The DSL uses R’s syntax, but compiles
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to C in order to efficiently solve the system using deSolve.
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[*odin*](https://CRAN.R-project.org/package=odin). The advantage of
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*odin* is that it generates systems of ordinary differential equations
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(ODE) and integrates them, using a domain-specific language (DSL). The
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DSL uses R’s syntax, but compiles to C in order to efficiently solve
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the system using deSolve.
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### Stochastic models
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‎articles/finalsize_comparison.md‎

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@@ -474,8 +474,8 @@ select(as_tibble(benchmark), expression, total_time)
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#> # A tibble: 2 × 2
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#> expression total_time
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#> <bch:expr> <dbl>
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#> 1 analytical_method 0.396
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#> 2 ode_model 13.6
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#> 1 analytical_method 0.472
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#> 2 ode_model 14.0
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```
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**Note** that some model runs using *epidemics* that implement more

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