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 (2020, Technical Report).


Reference manual

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3.1 by Kaijun Wang, 2 months ago

Browse source code at

Authors: Subhadeep Mukhopadhyay , Kaijun Wang

Documentation:   PDF Manual  

GPL-2 license

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

Depends on stats, BayesGOF, MASS

See at CRAN