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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xavierkamp%2FtsForecastR

Topics: arima-model, backtesting, bsts, ets-model, h2o-automl, keras-lstm, machine-learning, multivariate-data, stl-model, time-series-forecasting, univariate-data

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Dependencies