SISIR
Select Intervals Suited for Functional Regression
Interval fusion and selection procedures for regression with functional inputs. Methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in <doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in <doi:10.1002/sam.11705>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.3 |
rolling linux/jammy R-4.5 | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
rolling linux/noble R-4.5 | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
rolling source/ R- | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
latest linux/jammy R-4.5 | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
latest linux/noble R-4.5 | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
latest source/ R- | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
2026-04-26 source/ R- | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
2026-04-23 source/ R- | SISIR_0.2.3.tar.gz |
36.2 KiB |
0.2.3 |
2025-04-20 source/ R- | SISIR_0.2.3.tar.gz |
36.2 KiB |