caretForecast
Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
rolling linux/noble R-4.5 | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
rolling source/ R- | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
latest linux/jammy R-4.5 | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
latest linux/noble R-4.5 | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
latest source/ R- | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
2026-04-26 source/ R- | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
2026-04-23 source/ R- | caretForecast_0.1.3.tar.gz |
2.0 MiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | caretForecast_0.1.3.zip |
2.0 MiB |
0.1.1 |
2025-04-20 source/ R- | caretForecast_0.1.1.tar.gz |
481.5 KiB |