This package is considered a duplicate. The official version of this package is found at:https://ahaeusser.r-universe.dev/echos

Package: echos 1.0.4

Alexander Häußer

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:Alexander Häußer [aut, cre, cph]

echos_1.0.4.tar.gz
echos_1.0.4.tar.gz(r-4.7-arm64)echos_1.0.4.tar.gz(r-4.7-x86_64)echos_1.0.4.tar.gz(r-4.6-arm64)echos_1.0.4.tar.gz(r-4.6-x86_64)
echos_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
echos/json (API)
NEWS

# Install 'echos' in R:

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

Bug tracker:https://github.com/ahaeusser/echos/issues

Pkgdown/docs site:https://ahaeusser.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

m4_data - Deprecated name for 'm4_monthly_subset'
m4_monthly_subset - Monthly subset of the M4 competition data
synthetic_data - Synthetic time series data

On CRAN:

openblas cpp openmp

3.80 score 1 stars 14 scripts 227 downloads 10 exports 43 dependencies

Last updated from:31a63c001f. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	212
linux-devel-x86_64	OK	224
source / vignettes	OK	251
linux-release-arm64	OK	233
linux-release-x86_64	OK	222
wasm-release	OK	153

Exports:ESN filter_esn forecast_esn is.esn is.forecast_esn is.tune_esn reservoir run_reservoir train_esn tune_esn

Dependencies:anytime BH cli cpp11 digest distributional dplyr fabletools farver generics ggdist ggplot2 glue gtable isoband labeling lifecycle lubridate magrittr numDeriv pillar pkgconfig progressr purrr quadprog R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales stringi stringr tibble tidyr tidyselect timechange tsibble utf8 vctrs viridisLite withr

Base functions

Alexander Häußer

Rendered fromvignette_01_baseR.Rmdusingknitr::rmarkdownon Jun 15 2026.

Last update: 2026-06-15
Started: 2025-02-11

Datasets

Alexander Häußer

Rendered fromvignette_03_datasets.Rmdusingknitr::rmarkdownon Jun 15 2026.

Last update: 2026-06-15
Started: 2025-06-23

Tidy functions

Alexander Häußer

Rendered fromvignette_02_tidyR.Rmdusingknitr::rmarkdownon Jun 15 2026.

Last update: 2026-06-15
Started: 2025-02-11

Citation

Readme and manuals

Help Manual

Help page	Topics
Train an Echo State Network	ESN
Filter ESN models	filter_esn
Extract fitted values from a trained ESN	fitted.ESN
Forecast an Echo State Network	forecast_esn
Forecast an Echo State Network	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
Checks if object is of class "tune_esn"	is.tune_esn
Deprecated name for 'm4_monthly_subset'	m4_data
Monthly subset of the M4 competition data	m4_monthly_subset
Model specification of a trained ESN model	model_sum.ESN
Plot internal states of a trained ESN model	plot.esn
Plot forecasts of a trained ESN model	plot.forecast_esn
Plot forecasts from a tuned ESN object	plot.tune_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
Provide a summary of the hyperparameter tuning	summary.tune_esn
Synthetic time series data	synthetic_data
Estimated coefficients	tidy.ESN
Train an Echo State Network	train_esn
Tune hyperparameters of an Echo State Network	tune_esn

Package: echos 1.0.4

echos: Echo State Networks for Time Series Modeling and Forecasting

Base functions

Datasets

Tidy functions

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)