Relevance-Integrated Statistical Inference Engine

A framework of 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 (2019, Technical Report).


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install.packages("LPRelevance")

2.0 by Kaijun Wang, 16 days ago


Browse source code at https://github.com/cran/LPRelevance


Authors: Subhadeep Mukhopadhyay , Kaijun Wang


Documentation:   PDF Manual  


GPL-2 license


Imports leaps, locfdr, Bolstad2, reshape2, ggplot2, polynom

Depends on stats, BayesGOF


See at CRAN