mvLSWimpute
Imputation Methods for Multivariate Locally Stationary Time Series
Implementation of imputation techniques based on locally stationary wavelet time series forecasting methods from Wilson, R. E. et al. (2021) <doi:10.1007/s11222-021-09998-2>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | mvLSWimpute_0.1.1.tar.gz |
60.9 KiB |
0.1.1 |
rolling linux/noble R-4.5 | mvLSWimpute_0.1.1.tar.gz |
60.8 KiB |
0.1.1 |
rolling source/ R- | mvLSWimpute_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | mvLSWimpute_0.1.1.tar.gz |
60.9 KiB |
0.1.1 |
latest linux/noble R-4.5 | mvLSWimpute_0.1.1.tar.gz |
60.8 KiB |
0.1.1 |
latest source/ R- | mvLSWimpute_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
2026-04-26 source/ R- | mvLSWimpute_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
2026-04-23 source/ R- | mvLSWimpute_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | mvLSWimpute_0.1.1.zip |
63.6 KiB |
0.1.1 |
2025-04-20 source/ R- | mvLSWimpute_0.1.1.tar.gz |
14.2 KiB |