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LPRelevance  

Relevance-Integrated Statistical Inference Engine
View on CRAN: Click here


Download and install LPRelevance package within the R console
Install from CRAN:
install.packages("LPRelevance")

Install from Github:
library("remotes")
install_github("cran/LPRelevance")

Install by package version:
library("remotes")
install_version("LPRelevance", "3.3")



Attach the package and use:
library("LPRelevance")
Maintained by
Kaijun Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-05
Latest Update: 2022-05-18
Description:
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, ).
How to cite:
Kaijun Wang (2019). LPRelevance: Relevance-Integrated Statistical Inference Engine. R package version 3.3, https://cran.r-project.org/web/packages/LPRelevance. Accessed 17 Jul. 2026.
Previous versions and publish date:
1.0 (2019-08-05 16:10), 2.0 (2019-09-06 08:50), 2.1 (2019-10-08 00:00), 3.0 (2020-03-29 22:10), 3.1 (2020-05-17 00:30), 3.2 (2021-04-23 00:10), 3.3 (2022-05-18 08:20), (2026-07-09 08:08)
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Complete documentation for LPRelevance
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