rvalues v0.6.3


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R-Values for Ranking in High-Dimensional Settings

A collection of functions for computing "r-values" from various kinds of user input such as MCMC output or a list of effect size estimates and associated standard errors. Given a large collection of measurement units, the r-value, r, of a particular unit is a reported percentile that may be interpreted as the smallest percentile at which the unit should be placed in the top r-fraction of units.



an R package to calculate r-values for ranking and selection in large-scale inference




Functions in rvalues

Name Description
bcwest Breast Cancer Gene Expression Data
rvalues R-values
FDRCurve FDR Curve
PostSummaries R-values from posterior summary quantities
OverlapCurve Overlap Curve
PostPercentile Posterior expected percentiles
TopList List of Top Units
hiv HIV Data Set
MCMCtest MCMC sample output
rvalueBoot Bootstrapped r-values
mroot Multi-dimensional Root (Zero) Finding
Valpha R-values from a matrix of posterior tail probabilities.
batavgs Batting Averages Data
npmixapply Apply Functions over estimated unit-specific posterior distributions
fluEnrich Flu Enrichment Data
MakeGrid Grid Construction
npmle Maximum Likelihood Estimate of a Mixing Distribution.
NBA1314 National Basketball Association, free throw data, 2013-2014 season
tdist t-distribution family object
rvaluesMCMC R-values from MCMC output.
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Type Package
Date 2018-5-21
License GPL-2
LazyData yes
NeedsCompilation yes
Packaged 2018-05-21 16:01:36 UTC; nhenders
Repository CRAN
Date/Publication 2018-05-23 09:30:14

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