PINNProgCens
Physics-Informed Neural Networks for Progressive Censoring
Implementation of Physics-Informed Neural Networks ('PINN') for lifetime estimation under progressive Type-II censoring schemes. Combines parametric baseline hazards with physical differential degradation models.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | PINNProgCens_0.1.0.tar.gz |
26.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | PINNProgCens_0.1.0.tar.gz |
25.9 KiB |
0.1.0 |
rolling source/ R- | PINNProgCens_0.1.0.tar.gz |
4.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | PINNProgCens_0.1.0.tar.gz |
26.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | PINNProgCens_0.1.0.tar.gz |
25.9 KiB |
0.1.0 |
latest source/ R- | PINNProgCens_0.1.0.tar.gz |
4.3 KiB |
0.1.0 |
2026-04-23 source/ R- | PINNProgCens_0.1.0.tar.gz |
0 B |