@bsull/augurs
JavaScript bindings for the augurs time series library.
Found 39 results for forecasting
arima
ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting
timeseries-analysis
timeseries-analysis
ctsa
Univariate ARIMA model
@bsull/augurs-prophet-wasmstan
Prophet's Stan model, compiled to WASM, for use with the @bsull/augurs library.
@stdlib/stats-incr-rmse
Compute the root mean squared error (RMSE) incrementally.
ts-arima-forecast
TypeScript library for ARIMA, SARIMA (soon), and SARIMAX (soon) forecasting
@stdlib/stats-incr-mae
Compute the mean absolute error (MAE) incrementally.
@stdlib/stats-incr-mse
Compute the mean squared error (MSE) incrementally.
@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-mme
Compute a moving mean error (ME) incrementally.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mrss
Compute a moving residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-mrmse
Compute a moving root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mmda
Compute a moving mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
@stdlib/stats-incr-me
Compute the mean error (ME) incrementally.
@stdlib/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
arima-ts
ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting
@stdlib/stats-incr-mpe
Compute the mean percentage error (MPE) incrementally.
@stdlib/stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
@stdlib/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
@stdlib/stats-incr-mmpe
Compute a moving mean percentage error (MPE) incrementally.
@trap_stevo/metrictide-client
A resilient, smart client designed to stream, store, and query metrics to and from a MetricTide analytics server. Whether you're tracking product usage, performance signals, or user behavior, MetricTide Client offers seamless integration, offline robustne
@trap_stevo/metrictide
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
wisdom-sdk
Core business logic and data access layer for prediction markets
moving-average-arima
ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting
timeseries-transform
timeseries-transform
@forecasting/aggregation
Forecasting aggregation utilities
series-processing
Time-series processing for forex, market analysis, including MA, EMA,...
linear-timeseries-forecaster
@forecasting/laplace
Probability of an action happening per Laplace's rule of succession
@mseep/manifold-mcp-server
Comprehensive MCP server for Manifold Markets providing market creation, trading, liquidity management, and social features
forecasting
Forecasting related utilities.
acuread
Reads data from AcuRite weather stations
weath-cli
CLI for getting weather forecasts
forecasting-models-cassandra
[](https://circleci.com/gh/Plnt9/forecasting-models-cassandra)