funnel

A large-scale heterogeneous dataset used in our paper.

datasets

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>).

Kaijun Wang

LPRelevance

Relevance-Integrated Statistical Inference Engine

funnel function

A data frame with 3565 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>x</code></dt><dd>A list of covariate values.</dd>
 <dt><code>z</code></dt><dd>A list of z-values.</dd>
 <dt><code>tags</code></dt><dd>Binary vector of labels, 1 indicates a data point is a signal.</dd>
 </dl>

Format

A stylized simulated example. — funnel

A data frame with 3565 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>x</code></dt><dd>A list of covariate values.</dd>
 <dt><code>z</code></dt><dd>A list of z-values.</dd>
 <dt><code>tags</code></dt><dd>Binary vector of labels, 1 indicates a data point is a signal.</dd>
 </dl>

funnel: A stylized simulated example.

Description

Usage

Arguments

Format

References