summary.simulate_stockflow

Returns a data frame with per-variable summary statistics (min, mean, max,
and final value) over the simulated time range.

Stock-and-flow models are a computational method from the
field of system dynamics. They represent how systems change over time
and are mathematically equivalent to ordinary differential equations.
'sdbuildR' (system dynamics builder) provides an intuitive interface
for constructing stock-and-flow models without requiring extensive
domain knowledge. Models can quickly be simulated and revised,
supporting iterative development. 'sdbuildR' simulates models in 'R'
and 'Julia', and supports computationally intensive ensemble
simulations. Additionally, 'sdbuildR' can import models created in
'Insight Maker' (<https://insightmaker.com/>).

Kyra Caitlin Evers

sdbuildR

Easily Build, Simulate, and Explore Stock-and-Flow Models

summary.simulate_stockflow function

<dl><dt>object</dt>
<dd>A simulation result of class <code>simulate_stockflow</code></dd>
<dt>...</dt>
<dd>Additional arguments (unused)</dd></dl>

Arguments

Summarise simulation results — summary.simulate_stockflow

<dl>

<dt>object</dt>
<dd>A simulation result of class <code>simulate_stockflow</code></dd>


<dt>...</dt>
<dd>Additional arguments (unused)</dd>

</dl>

summary.simulate_stockflow: Summarise simulation results

Description

Usage

Value

Arguments

See Also

Examples