modeltime
fable
| modeltime | fable | |
|---|---|---|
| 5 | 5 | |
| 499 | 552 | |
| 0.6% | 0.9% | |
| 8.4 | 6.8 | |
| 4 months ago | about 2 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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modeltime
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Cross Validating Time Series Models in R
Check out the ModelTime package: https://business-science.github.io/modeltime/
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Good package or tidy way of sliding time series forecasting windows for backtesting?
I was looking for something similar a bit ago and settled on timetk and modeltime. It's been a while since I worked with these and I never got deep enough in my own project to fully explore them, so unfortunately all I can offer are the links; however this should get you what you're looking for
- Has anyone taken Matt Dancho's courses?
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Time Series in R
It’s actually completely different than what existed. You can see my roadmap here and how much has went into the Modeltime project. https://github.com/business-science/modeltime/issues/5
fable
- Fable: Forecasting Models for Tidy Time Series
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Has anyone ever had luck with the forecasting functionality?
Honestly more doable than you’d think. Download RStudio, copy the code from this page https://fable.tidyverts.org, consult ChatGPT until you’re able to get everything running as expected, sub in your data
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Daily Hospital admits time series forecasting
If you are using R, Rob Hyndman's fable package is the best alternative. If you are looking for a Python library, I recommend StatsForecast.
- Methods for filtering and smoothing time series
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Freedom degrees in ARMA(p,q)
For a throughout discussion of ARIMA models I recommend Hyndman's Forecasting: Principles and Practice book. If you are estimating ARIMA with R check Fable. If you are estimating ARIMA with Python StatsForecast.
What are some alternatives?
Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
modeltime.gluonts - GluonTS Deep Learning with Modeltime
modeltime.ensemble - Time Series Ensemble Forecasting
boostime - The Tidymodels Extension for Time Series Boosting Models
timetk - Time series analysis in the `tidyverse`
healthyR.ts - A time-series companion package to healthyR
modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime
LEMMA-Forecasts - Outputs of the LEMMA model for COVID-19 forecasts
Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
hal9001 - 🤠 📿 The Highly Adaptive Lasso