QPot: An R Package for Stochastic Differential Equation Quasi-Potential Analysis
Christopher M. Moore, Christopher R. Stieha, Ben C. Nolting, Maria K. Cameron, Karen C. Abbott
Abstract
QPot (pronounced [Formula]) is an R package for analyzing two-dimensional systems of stochastic differential equations. It provides users with a wide range of tools to simulate, analyze, and visualize the dynamics of these systems. One of QPots key features is the computation of the quasi-potential, an important tool for studying stochastic systems. Quasi-potentials are particularly useful for comparing the relative stabilities of equilibria in systems with alternative stable states. This paper describes QPots primary functions, and explains how quasi-potentials can yield insights about the dynamics of stochastic systems. Three worked examples guide users through the application of QPots functions.
02 /Specification & Classification
Click any tag to browse matching papers- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- sRQA: AN INTEGRATIVE PIPELINE FOR SYMBOLIC RECURRENCE QUANTIFICATION ANALYSIS
Austen Curtin, Emma T. Merriman, Paul C. P. Curtin·Scientific ReportsPeer-reviewed·Oct 9, 2026
- Self-determination motivation theory in R: The software package SDT
A. Ünlü·bioRxiv·Jan 2, 2019
- PlotsOfDifferences - a web app for the quantitative comparison of unpaired data
J. Goedhart·bioRxiv·Mar 17, 2019
- PDEparams: Parameter fitting toolbox for partial differential equations in Python
César A. Parra-Rojas, Esteban Abelardo Hernandez-Vargas·BioinformaticsPeer-reviewed·Dec 16, 2019
- DelaySSAToolkit.jl: stochastic simulation of reaction systems with time delays in Julia
Xiaoming Fu, Xinyi Zhou, … Ramon Grima·BioinformaticsPeer-reviewed·Jul 7, 2022
- Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities
Yun Min Song, Hyukpyo Hong, Jae Kyoung Kim·PLoS Computational BiologyPeer-reviewed·Oct 18, 2021