Package: dymo 2.0.0

dymo: Dynamic Mode Decomposition Forecasting with Conformal Predictive Sampling

The DYMO package provides tools for multi-feature time-series forecasting using a Dynamic Mode Decomposition (DMD) model combined with conformal predictive sampling for uncertainty quantification.

Authors:Giancarlo Vercellino [aut, cre, cph]

dymo_2.0.0.tar.gz
dymo_2.0.0.zip(r-4.7)dymo_2.0.0.zip(r-4.6)dymo_2.0.0.zip(r-4.5)
dymo_2.0.0.tgz(r-4.6-any)dymo_2.0.0.tgz(r-4.5-any)
dymo_2.0.0.tar.gz(r-4.7-any)dymo_2.0.0.tar.gz(r-4.6-any)
dymo_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dymo/json (API)
NEWS

# Install 'dymo' in R:

install.packages('dymo', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

time_features - Time features example: IBM, AAPL, AMZN, GOOGL and MSFT Close Prices

On CRAN:

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

1.00 score 3 scripts 158 downloads 1 exports 17 dependencies

Last updated from:e1bc91eab4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	115
source / vignettes	OK	175
linux-release-x86_64	OK	119
macos-release-arm64	OK	110
macos-oldrel-arm64	OK	94
windows-devel	OK	96
windows-release	OK	85
windows-oldrel	OK	82
wasm-release	OK	92