BinaryEMVS
Variable Selection for Binary Data Using the EM Algorithm
Implements variable selection for high dimensional datasets with a binary response variable using the EM algorithm. Both probit and logit models are supported. Also included is a useful function to generate high dimensional data with correlated variables.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1 |
rolling linux/jammy R-4.5 | BinaryEMVS_0.1.tar.gz |
30.1 KiB |
0.1 |
rolling linux/noble R-4.5 | BinaryEMVS_0.1.tar.gz |
30.0 KiB |
0.1 |
rolling source/ R- | BinaryEMVS_0.1.tar.gz |
5.8 KiB |
0.1 |
latest linux/jammy R-4.5 | BinaryEMVS_0.1.tar.gz |
30.1 KiB |
0.1 |
latest linux/noble R-4.5 | BinaryEMVS_0.1.tar.gz |
30.0 KiB |
0.1 |
latest source/ R- | BinaryEMVS_0.1.tar.gz |
5.8 KiB |
0.1 |
2026-04-26 source/ R- | BinaryEMVS_0.1.tar.gz |
5.8 KiB |
0.1 |
2026-04-23 source/ R- | BinaryEMVS_0.1.tar.gz |
5.8 KiB |
0.1 |
2026-04-09 windows/windows R-4.5 | BinaryEMVS_0.1.zip |
32.9 KiB |
0.1 |
2025-04-20 source/ R- | BinaryEMVS_0.1.tar.gz |
5.8 KiB |