epsiwal
Exact Post Selection Inference with Applications to the Lasso
Implements the conditional estimation procedure of Lee, Sun, Sun and Taylor (2016) <doi:10.1214/15-AOS1371>. This procedure allows hypothesis testing on the mean of a normal random vector subject to linear constraints.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | epsiwal_0.1.0.tar.gz |
28.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | epsiwal_0.1.0.tar.gz |
28.3 KiB |
0.1.0 |
rolling source/ R- | epsiwal_0.1.0.tar.gz |
37.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | epsiwal_0.1.0.tar.gz |
28.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | epsiwal_0.1.0.tar.gz |
28.3 KiB |
0.1.0 |
latest source/ R- | epsiwal_0.1.0.tar.gz |
37.1 KiB |
0.1.0 |
2026-04-26 source/ R- | epsiwal_0.1.0.tar.gz |
37.1 KiB |
0.1.0 |
2026-04-23 source/ R- | epsiwal_0.1.0.tar.gz |
37.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | epsiwal_0.1.0.zip |
31.3 KiB |
0.1.0 |
2025-04-20 source/ R- | epsiwal_0.1.0.tar.gz |
37.1 KiB |