timetk
modeltime.resample
timetk | modeltime.resample | |
---|---|---|
2 | 1 | |
598 | 17 | |
0.2% | - | |
7.9 | 6.2 | |
3 months ago | 5 months ago | |
R | R | |
- | GNU General Public License v3.0 or later |
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timetk
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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
- Time Series in R
modeltime.resample
What are some alternatives?
fable - Tidy time series forecasting
modeltime - Modeltime unlocks time series forecast models and machine learning in one framework
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
modeltime.ensemble - Time Series Ensemble Forecasting
modeltime.gluonts - GluonTS Deep Learning with Modeltime
boostime - The Tidymodels Extension for Time Series Boosting Models
healthyR.ts - A time-series companion package to healthyR
modeltime.h2o - Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
hal9001 - 🤠📿 The Highly Adaptive Lasso