Other packages > Find by keyword >

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", "0.1.1")



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 0.1.1, https://cran.r-project.org/web/packages/DNAmf. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.1.0 (2025-06-23 13:20), (2026-07-09 08:01)
Other packages that cited DNAmf R package
View DNAmf citation profile
Other R packages that DNAmf depends, imports, suggests or enhances
Complete documentation for DNAmf
Functions, R codes and Examples using the DNAmf R package
Full DNAmf package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA