LPRelevance
Relevance-Integrated Statistical Inference Engine
Provide methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2021, <arXiv:2004.09588>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.3 |
rolling linux/jammy R-4.5 | LPRelevance_3.3.tar.gz |
259.3 KiB |
3.3 |
rolling linux/noble R-4.5 | LPRelevance_3.3.tar.gz |
259.3 KiB |
3.3 |
rolling source/ R- | LPRelevance_3.3.tar.gz |
173.5 KiB |
3.3 |
latest linux/jammy R-4.5 | LPRelevance_3.3.tar.gz |
259.3 KiB |
3.3 |
latest linux/noble R-4.5 | LPRelevance_3.3.tar.gz |
259.3 KiB |
3.3 |
latest source/ R- | LPRelevance_3.3.tar.gz |
173.5 KiB |
3.3 |
2026-04-26 source/ R- | LPRelevance_3.3.tar.gz |
173.5 KiB |
3.3 |
2026-04-23 source/ R- | LPRelevance_3.3.tar.gz |
173.5 KiB |
3.3 |
2026-04-09 windows/windows R-4.5 | LPRelevance_3.3.zip |
262.4 KiB |
3.3 |
2025-04-20 source/ R- | LPRelevance_3.3.tar.gz |
173.5 KiB |