Package: echos 1.0.1

echos: Echo State Networks for Time Series Modeling and Forecasting
Provides a lightweight implementation of functions and methods for fast and fully automatic time series modeling and forecasting using Echo State Networks (ESNs).
Authors:
echos_1.0.1.tar.gz
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echos.pdf |echos.html✨
echos/json (API)
NEWS
# Install 'echos' in R: |
install.packages('echos', repos = c('https://ahaeusser.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ahaeusser/echos/issues
Pkgdown site:https://ahaeusser.github.io
- m4_data - M4 dataset
echo-state-networksfablefabletoolsforecastforecastingrecurrent-neural-networksreservoir-computingridge-regressiontime-seriesopenblascppopenmp
Last updated 6 days agofrom:57bc717736. Checks:12 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 04 2025 |
R-4.5-win-x86_64 | OK | Mar 04 2025 |
R-4.5-mac-x86_64 | OK | Mar 04 2025 |
R-4.5-mac-aarch64 | OK | Mar 04 2025 |
R-4.5-linux-x86_64 | OK | Mar 04 2025 |
R-4.4-win-x86_64 | OK | Mar 04 2025 |
R-4.4-mac-x86_64 | OK | Mar 04 2025 |
R-4.4-mac-aarch64 | OK | Mar 04 2025 |
R-4.4-linux-x86_64 | OK | Mar 04 2025 |
R-4.3-win-x86_64 | OK | Mar 04 2025 |
R-4.3-mac-x86_64 | OK | Mar 04 2025 |
R-4.3-mac-aarch64 | OK | Mar 04 2025 |
Exports:ESNforecast_esnis.esnis.forecast_esnreservoirrun_reservoirtrain_esn
Dependencies:anytimeBHclicolorspacecpp11curldigestdistributionaldplyrellipsisfabletoolsfansifarverforecastfracdiffgenericsggdistggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestlubridatemagrittrMASSMatrixmgcvmunsellnlmennetnumDerivpillarpkgconfigprogressrpurrrquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalesstringistringrtibbletidyrtidyselecttimechangetimeDatetseriestsibbleTTRurcautf8vctrsviridisLitewithrxtszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Automatic train an Echo State Network | ESN |
Extract fitted values from a trained ESN | fitted.ESN |
Forecast a trained Echo State Network | forecast_esn |
Forecast a trained ESN | forecast.ESN |
Summary of trained models during random search | glance.ESN |
Checks if object is of class "esn" | is.esn |
Checks if object is of class "forecast_esn" | is.forecast_esn |
M4 dataset | m4_data |
Provide a succinct summary of a trained ESN | model_sum.ESN |
Plot point forecasts and actual values of a trained ESN model. | plot.forecast_esn |
Print model specification of the trained ESN model | print.esn |
Provide a detailed summary of the trained ESN model | report.ESN |
Return the reservoir from a trained ESN as tibble | reservoir |
Extract residuals from a trained ESN | residuals.ESN |
Run reservoir | run_reservoir |
Provide a detailed summary of the trained ESN model | summary.esn |
Estimated coefficients | tidy.ESN |
Train an Echo State Network | train_esn |