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dynemu  

Emulation of Dynamic Simulators via One-Step-Ahead Approach
View on CRAN: Click here


Download and install dynemu package within the R console
Install from CRAN:
install.packages("dynemu")

Install from Github:
library("remotes")
install_github("cran/dynemu")

Install by package version:
library("remotes")
install_version("dynemu", "1.0.2")



Attach the package and use:
library("dynemu")
Maintained by
Junoh Heo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-28
Latest Update: 2025-03-28
Description:
Performs emulation of dynamic simulators using Gaussian process via one-step ahead approach. The package implements a flexible framework for approximating time-dependent outputs from computationally expensive dynamic systems. It is specifically designed for nonlinear dynamic systems where full simulations may be costly. The underlying Gaussian process model accounts for temporal dependency through the one-step-ahead formulation, allowing for accurate emulation of complex dynamics. Hyperparameters are estimated via maximum likelihood. See Heo (2025, <doi:10.48550/arXiv.2503.20250>) for exact method, and Mohammadi, Challenor, and Goodfellow (2019, <doi:10.1016/j.csda.2019.05.006>) for methodological details.
How to cite:
Junoh Heo (2025). dynemu: Emulation of Dynamic Simulators via One-Step-Ahead Approach. R package version 1.0.2, https://cran.r-project.org/web/packages/dynemu. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 1.0.0 (2025-03-28 19:50)
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Complete documentation for dynemu
Functions, R codes and Examples using the dynemu R package
Full dynemu package functions and examples
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