MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language

Kapraun et al., (2025). MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language. Journal of Open Source Software, 10(112), 8492, https://doi.org/10.21105/joss.08492

Authors

Institutions

Publication Details

Journal
The Journal of Open Source Software
Published
2025-08-15
DOI
https://doi.org/10.21105/joss.08492
Primary Topic
Scientific Research and Discoveries
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language

Andrew J. Shapiro, Ryan Friese, Todd J. Zurlinden, Dustin F. Kapraun
The Journal of Open Source Software
Scientific Research and Discoveries
article

MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language

Andrew J. Shapiro, Ryan Friese, Todd J. Zurlinden, Dustin F. Kapraun
article en

Abstract

Kapraun et al., (2025). MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language. Journal of Open Source Software, 10(112), 8492, https://doi.org/10.21105/joss.08492

The Journal of Open Source SoftwareVol. 10(112)
Environmental Protection Agency (US), Pacific Northwest National Laboratory (US)
Openalex Percentile: Top 83%
Scientific Research and Discoveries
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.