BSW
Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil (BSW) Algorithm
Implements a modified Newton-type algorithm (BSW algorithm) for solving the maximum likelihood estimation problem in fitting a log-binomial model under linear inequality constraints.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | BSW_0.1.2.tar.gz |
74.2 KiB |
0.1.2 |
rolling linux/noble R-4.5 | BSW_0.1.2.tar.gz |
74.1 KiB |
0.1.2 |
rolling source/ R- | BSW_0.1.2.tar.gz |
22.4 KiB |
0.1.2 |
latest linux/jammy R-4.5 | BSW_0.1.2.tar.gz |
74.2 KiB |
0.1.2 |
latest linux/noble R-4.5 | BSW_0.1.2.tar.gz |
74.1 KiB |
0.1.2 |
latest source/ R- | BSW_0.1.2.tar.gz |
22.4 KiB |
0.1.2 |
2026-04-26 source/ R- | BSW_0.1.2.tar.gz |
22.4 KiB |
0.1.2 |
2026-04-23 source/ R- | BSW_0.1.2.tar.gz |
22.4 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | BSW_0.1.2.zip |
77.0 KiB |
0.1.1 |
2025-04-20 source/ R- | BSW_0.1.1.tar.gz |
13.6 KiB |