cvmaPLFAM
Cross-Validation Model Averaging for Partial Linear Functional Additive Models
Produce an averaging estimate/prediction by combining all candidate models for partial linear functional additive models, using multi-fold cross-validation criterion. More details can be referred to arXiv e-Prints via <doi:10.48550/arXiv.2105.00966>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | cvmaPLFAM_0.1.1.tar.gz |
55.8 KiB |
0.1.1 |
rolling linux/noble R-4.5 | cvmaPLFAM_0.1.1.tar.gz |
55.7 KiB |
0.1.1 |
rolling source/ R- | cvmaPLFAM_0.1.1.tar.gz |
10.9 KiB |
0.1.1 |
latest linux/jammy R-4.5 | cvmaPLFAM_0.1.1.tar.gz |
55.8 KiB |
0.1.1 |
latest linux/noble R-4.5 | cvmaPLFAM_0.1.1.tar.gz |
55.7 KiB |
0.1.1 |
latest source/ R- | cvmaPLFAM_0.1.1.tar.gz |
10.9 KiB |
0.1.1 |
2026-04-26 source/ R- | cvmaPLFAM_0.1.1.tar.gz |
10.9 KiB |
0.1.1 |
2026-04-23 source/ R- | cvmaPLFAM_0.1.1.tar.gz |
10.9 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | cvmaPLFAM_0.1.1.zip |
58.6 KiB |
0.1.0 |
2025-04-20 source/ R- | cvmaPLFAM_0.1.0.tar.gz |
9.9 KiB |