GitHub / xavierkamp / tsForecastR
R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
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PURL: pkg:github/xavierkamp/tsForecastR
Stars: 2
Forks: 0
Open issues: 3
License: gpl-3.0
Language: R
Size: 63.3 MB
Dependencies parsed at: Pending
Created at: almost 6 years ago
Updated at: over 5 years ago
Pushed at: over 5 years ago
Last synced at: over 2 years ago
Topics: arima-model, backtesting, bsts, ets-model, h2o-automl, keras-lstm, machine-learning, multivariate-data, stl-model, time-series-forecasting, univariate-data