funbootband
Simultaneous Prediction and Confidence Bands for Time Series Data
Provides methods to compute simultaneous prediction and confidence bands for dense time series data. The implementation builds on the functional bootstrap approach proposed by Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5> and extended by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506> to support both independent and clustered (hierarchical) data. Includes a simple API (see band()) and an 'Rcpp' backend for performance.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | funbootband_0.2.0.tar.gz |
175.2 KiB |
0.2.0 |
rolling linux/noble R-4.5 | funbootband_0.2.0.tar.gz |
176.3 KiB |
0.2.0 |
rolling source/ R- | funbootband_0.2.0.tar.gz |
127.3 KiB |
0.2.0 |
latest linux/jammy R-4.5 | funbootband_0.2.0.tar.gz |
175.2 KiB |
0.2.0 |
latest linux/noble R-4.5 | funbootband_0.2.0.tar.gz |
176.3 KiB |
0.2.0 |
latest source/ R- | funbootband_0.2.0.tar.gz |
127.3 KiB |
0.2.0 |
2026-04-26 source/ R- | funbootband_0.2.0.tar.gz |
127.3 KiB |
0.2.0 |
2026-04-23 source/ R- | funbootband_0.2.0.tar.gz |
127.3 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | funbootband_0.2.0.zip |
498.5 KiB |