PoSI
Valid Post-Selection Inference for Linear LS Regression
In linear LS regression, calculate for a given design matrix the multiplier K of coefficient standard errors such that the confidence intervals [b - K*SE(b), b + K*SE(b)] have a guaranteed coverage probability for all coefficient estimates b in any submodels after performing arbitrary model selection.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | PoSI_1.1.tar.gz |
30.1 KiB |
1.1 |
rolling linux/noble R-4.5 | PoSI_1.1.tar.gz |
30.0 KiB |
1.1 |
rolling source/ R- | PoSI_1.1.tar.gz |
9.7 KiB |
1.1 |
latest linux/jammy R-4.5 | PoSI_1.1.tar.gz |
30.1 KiB |
1.1 |
latest linux/noble R-4.5 | PoSI_1.1.tar.gz |
30.0 KiB |
1.1 |
latest source/ R- | PoSI_1.1.tar.gz |
9.7 KiB |
1.1 |
2026-04-26 source/ R- | PoSI_1.1.tar.gz |
9.7 KiB |
1.1 |
2026-04-23 source/ R- | PoSI_1.1.tar.gz |
9.7 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | PoSI_1.1.zip |
32.5 KiB |
1.1 |
2025-04-20 source/ R- | PoSI_1.1.tar.gz |
9.7 KiB |