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DNAmf  

Diffusion Non-Additive Model with Tunable Precision
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DNAmf", "0.1.0")



Attach the package and use:
library("DNAmf")
Maintained by
Junoh Heo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-23
Latest Update: 2025-06-23
Description:
Performs Diffusion Non-Additive (DNA) model proposed by Heo, Boutelet, and Sung (2025+) <doi:10.48550/arXiv.2506.08328> for multi-fidelity computer experiments with tuning parameters. The DNA model captures nonlinear dependencies across fidelity levels using Gaussian process priors and is particularly effective when simulations at different fidelity levels are nonlinearly correlated. The DNA model targets not only interpolation across given fidelity levels but also extrapolation to smaller tuning parameters including the exact solution corresponding to a zero-valued tuning parameter, leveraging a nonseparable covariance kernel structure that models interactions between the tuning parameter and input variables. Closed-form expressions for the predictive mean and variance enable efficient inference and uncertainty quantification. Hyperparameters in the model are estimated via maximum likelihood estimation.
How to cite:
Junoh Heo (2025). DNAmf: Diffusion Non-Additive Model with Tunable Precision. R package version 0.1.0, https://cran.r-project.org/web/packages/DNAmf. Accessed 04 Jul. 2026.
Previous versions and publish date:
0.1.0 (2025-06-23 13:20)
Other packages that cited DNAmf R package
View DNAmf citation profile
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Complete documentation for DNAmf
Functions, R codes and Examples using the DNAmf R package
Full DNAmf package functions and examples
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