Package: LPRelevance
Type: Package
Title: Relevance-Integrated Statistical Inference Engine
Version: 3.3
Date: 2022-05-17
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kaijunwang.19@gmail.com>
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, <arXiv:2004.09588>). 
Imports: leaps,locfdr,Bolstad2,reshape2,ggplot2,polynom,glmnet,caret
Depends: R (>= 4.0.3), stats, BayesGOF, MASS
License: GPL-2
NeedsCompilation: no
Packaged: 2022-05-18 00:10:40 UTC; palan
Repository: CRAN
Date/Publication: 2022-05-18 06:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:45:36 UTC; unix
