jtimonen/odemodeling: Building, fitting, and validating Bayesian ODE models in 'Stan'
Building and fitting ordinary differential equation (ODE) models with different numerical solvers in 'Stan'. Designed for efficient validation of the accuracy of numerical solvers in the Bayesian context. Using Pareto-smoothed importance sampling (PSIS) and its diagnostics.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | BSD_3_clause + file LICENCE |
| Version | 0.2.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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