TSF
Two Stage Forecasting (TSF) for Long Memory Time Series in Presence of Structural Break
Forecasting of long memory time series in presence of structural break by using TSF algorithm by Papailias and Dias (2015) <doi:10.1016/j.ijforecast.2015.01.006>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | TSF_0.1.1.tar.gz |
20.0 KiB |
0.1.1 |
rolling linux/noble R-4.5 | TSF_0.1.1.tar.gz |
20.0 KiB |
0.1.1 |
rolling source/ R- | TSF_0.1.1.tar.gz |
2.7 KiB |
0.1.1 |
latest linux/jammy R-4.5 | TSF_0.1.1.tar.gz |
20.0 KiB |
0.1.1 |
latest linux/noble R-4.5 | TSF_0.1.1.tar.gz |
20.0 KiB |
0.1.1 |
latest source/ R- | TSF_0.1.1.tar.gz |
2.7 KiB |
0.1.1 |
2026-04-26 source/ R- | TSF_0.1.1.tar.gz |
2.7 KiB |
0.1.1 |
2026-04-23 source/ R- | TSF_0.1.1.tar.gz |
2.7 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | TSF_0.1.1.zip |
22.5 KiB |
0.1.1 |
2025-04-20 source/ R- | TSF_0.1.1.tar.gz |
2.7 KiB |