PFLR
Estimating Penalized Functional Linear Regression
Implementation of commonly used penalized functional linear regression models, including the Smooth and Locally Sparse (SLoS) method by Lin et al. (2016) <doi:10.1080/10618600.2016.1195273>, Nested Group bridge Regression (NGR) method by Guan et al. (2020) <doi:10.1080/10618600.2020.1713797>, Functional Linear Regression That's interpretable (FLIRTI) by James et al. (2009) <doi:10.1214/08-AOS641>, and the Penalized B-spline regression method.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | PFLR_1.1.0.tar.gz |
129.8 KiB |
1.1.0 |
rolling linux/noble R-4.5 | PFLR_1.1.0.tar.gz |
129.9 KiB |
1.1.0 |
rolling source/ R- | PFLR_1.1.0.tar.gz |
24.8 KiB |
1.1.0 |
latest linux/jammy R-4.5 | PFLR_1.1.0.tar.gz |
129.8 KiB |
1.1.0 |
latest linux/noble R-4.5 | PFLR_1.1.0.tar.gz |
129.9 KiB |
1.1.0 |
latest source/ R- | PFLR_1.1.0.tar.gz |
24.8 KiB |
1.1.0 |
2026-04-26 source/ R- | PFLR_1.1.0.tar.gz |
24.8 KiB |
1.1.0 |
2026-04-23 source/ R- | PFLR_1.1.0.tar.gz |
24.8 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | PFLR_1.1.0.zip |
133.4 KiB |
1.1.0 |
2025-04-20 source/ R- | PFLR_1.1.0.tar.gz |
24.8 KiB |