DropCens
Distributionally Robust Progressive Type-II Censoring Inference
Implements distributionally robust optimization algorithms for progressive Type-II censored Weibull lifetime data under Wasserstein ambiguity balls. Provides primal-dual convex optimization solvers and robust inference bounds.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | DropCens_0.1.0.tar.gz |
13.1 KiB |
0.1.0 |
rolling linux/noble R-4.5 | DropCens_0.1.0.tar.gz |
13.0 KiB |
0.1.0 |
rolling source/ R- | DropCens_0.1.0.tar.gz |
2.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | DropCens_0.1.0.tar.gz |
13.1 KiB |
0.1.0 |
latest linux/noble R-4.5 | DropCens_0.1.0.tar.gz |
13.0 KiB |
0.1.0 |
latest source/ R- | DropCens_0.1.0.tar.gz |
2.5 KiB |
0.1.0 |
2026-04-23 source/ R- | DropCens_0.1.0.tar.gz |
0 B |