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JavaScript bindings for the augurs time series library.
ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting
timeseries-analysis
- forecast
- forecasting
- timeseries
- chart
- charting
- stats
- std
- smoothing
- moving average
- noise removal
- autoregression
Prophet's Stan model, compiled to WASM, for use with the @bsull/augurs library.
Unlock powerful analytics through this modular, event-driven solution built for real-time metric tracking, aggregation, and forecasting. Capture actionable trends, segment data with flexible tag structures, and generate predictive insights using built-in
- Legendary
- Enlightened
- Steven Compton
- Magical
- analytics
- metrics
- events
- trend
- prediction
- timeseries
- forecasting
- real-time analytics
- data tracking
- data aggregation
- View more
Univariate ARIMA model
TypeScript library for ARIMA, SARIMA (soon), and SARIMAX (soon) forecasting
Compute the root mean squared error (RMSE) incrementally.
Compute the mean error (ME) incrementally.
Compute the mean absolute percentage error (MAPE) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- error
- err
- absolute
- abs
- View more
Compute a moving mean error (ME) incrementally.
Compute a moving mean squared error (MSE) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- error
- err
- mse
- msd
- residuals
- squares
- deviation
- difference
- View more
Compute the mean squared error (MSE) incrementally.
Compute the mean directional accuracy (MDA) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- direction
- directional
- accuracy
- trend
- incremental
- View more
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- error
- err
- absolute
- abs
- View more
Compute a moving root mean squared error (RMSE) incrementally.
Compute a moving mean absolute percentage error (MAPE) incrementally.
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
Compute the mean absolute error (MAE) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- absolute
- error
- err
- mae
- View more
Compute a moving mean percentage error (MPE) incrementally.