Sie2nts
Sieve Methods for Non-Stationary Time Series
We provide functions for estimation and inference of locally-stationary time series using the sieve methods and bootstrapping procedure. In addition, it also contains functions to generate Daubechies and Coiflet wavelet by Cascade algorithm and to process data visualization.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | Sie2nts_0.1.0.tar.gz |
234.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | Sie2nts_0.1.0.tar.gz |
234.1 KiB |
0.1.0 |
rolling source/ R- | Sie2nts_0.1.0.tar.gz |
30.2 KiB |
0.1.0 |
latest linux/jammy R-4.5 | Sie2nts_0.1.0.tar.gz |
234.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | Sie2nts_0.1.0.tar.gz |
234.1 KiB |
0.1.0 |
latest source/ R- | Sie2nts_0.1.0.tar.gz |
30.2 KiB |
0.1.0 |
2026-04-26 source/ R- | Sie2nts_0.1.0.tar.gz |
30.2 KiB |
0.1.0 |
2026-04-23 source/ R- | Sie2nts_0.1.0.tar.gz |
30.2 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | Sie2nts_0.1.0.zip |
238.5 KiB |
0.1.0 |
2025-04-20 source/ R- | Sie2nts_0.1.0.tar.gz |
30.2 KiB |