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LPRelevance (version 3.3)

Relevance-Integrated Statistical Inference Engine

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, ).

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Version

Install

install.packages('LPRelevance')

Monthly Downloads

159

Version

3.3

License

GPL-2

Maintainer

Kaijun Wang

Last Published

May 18th, 2022

Functions in LPRelevance (3.3)

funnel

A stylized simulated example.
LPRelevance-package

LPRelevance
g2l.proc

Procedures for global and local inference.
LASER

Generates Artificial RELevance Samples.
data.dti

DTI data.
rEB.proc

Relevance-Integrated Empirical Bayes Inference
kidney

Kidney data.
rEB.Finite.Bayes

Relevance-Integrated Finite Bayes.