FunctionalCalibration
Aggregated Functional Data Calibration using Splines and Wavelets
Implements methods for calibrating an aggregated functional data model using wavelets or splines. Each aggregated curve is modeled as a linear combination of component functions and known weights. The component functions are estimated using wavelets or splines. The package is based on dos Santos Sousa (2024) <doi:10.1515/mcma-2023-2016> and Saraiva and Dias (2009) <doi:10.47749/T/UNICAMP.2009.471073>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | FunctionalCalibration_1.0.0.tar.gz |
805.4 KiB |
1.0.0 |
rolling linux/jammy R-4.5 | FunctionalCalibration_1.0.0.tar.gz |
817.7 KiB |
1.0.0 |
latest source/ R- | FunctionalCalibration_1.0.0.tar.gz |
805.4 KiB |
1.0.0 |
latest linux/jammy R-4.5 | FunctionalCalibration_1.0.0.tar.gz |
817.7 KiB |
1.0.0 |
2026-04-23 source/ R- | FunctionalCalibration_1.0.0.tar.gz |
805.4 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | FunctionalCalibration_1.0.0.zip |
821.7 KiB |