In Zadchow/concurve: Computes & Plots Compatibility (Confidence), Surprisal, & Likelihood Distributions

knitr::opts_chunk$set(
  message = TRUE,
  warning = TRUE,
  collapse = TRUE,
  comment = "#>"
)
library(concurve)

Sample image taken from Schweder T, Hjort NL. (2016)

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Here we list some papers that discuss the theory and applications of confidence distributions.[@birnbaumUnifiedTheoryEstimation1961; @rafiSemanticCognitiveTools2020; @fraserPvalueFunctionStatistical2019; @fraserPValuesInsightModern2017; @Poole1987-nb; @pooleConfidenceIntervalsExclude1987; @schwederConfidenceLikelihood2002; @schwederConfidenceLikelihoodProbability2016; @Singh2007-zr; @Sullivan1990-ha; @whiteheadCaseFrequentismClinical1993; @xieConfidenceDistributionFrequentist2013; @rothmanPrecisionStatisticsEpidemiologic2008; @ruckerForestPlotDrapery2020; @rothmanFlutamideEffectivePatients1999; @coxDiscussion2013]

References

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Zadchow/concurve documentation built on Jan. 11, 2024, 4:55 a.m.