Package: dynemu 1.0.2

dynemu: Emulation of Dynamic Simulators via One-Step-Ahead Approach

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. For methodological details, 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 Monte Carlo method.

Authors:Junoh Heo [aut, cre]

dynemu_1.0.2.tar.gz
dynemu_1.0.2.zip(r-4.7)dynemu_1.0.2.zip(r-4.6)dynemu_1.0.2.zip(r-4.5)
dynemu_1.0.2.tgz(r-4.6-any)dynemu_1.0.2.tgz(r-4.5-any)
dynemu_1.0.2.tar.gz(r-4.7-any)dynemu_1.0.2.tar.gz(r-4.6-any)
dynemu_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
dynemu/json (API)

# Install 'dynemu' in R:
install.packages('dynemu', repos = c('https://heojunoh.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 499 downloads 5 exports 8 dependencies

Last updated from:ca89409032. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK161
linux-release-x86_64OK115
macos-release-arm64OK97
macos-oldrel-arm64OK137
windows-develOK72
windows-releaseOK67
windows-oldrelOK75
wasm-releaseOK91

Exports:dyn_solvedynemu_exactdynemu_GPdynemu_mcdynemu_pred

Dependencies:clusterdeSolvemaptreeMASSmvtnormplgprparttgp