Balancing Central and Marginal Rejection of Pooled p-Values


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Documentation for package ‘PoolBal’ version 0.1-0

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altFrequencyMat Identify a region of plausible alternative hypotheses in the proportion, strength of non-null evidence space
betaDiv Compute the Kullback-Leibler divergence between the beta and uniform distributions
chiKappa Chi-squared kappa for a given centrality quotient
chiPc Chi-squared central rejection level
chiPool Chi-squared p-value pooling
chiPr Chi-squared marginal rejection level
chiQ Chi-squared centrality quotient
convertGeneticSigma Convert p-value correlation to chi-squared covariance
estimatePc Compute the central rejection level
estimatePrb Compute the marginal rejection level
estimateQ Compute the centrality quotient
findA Estimate parameter for a given beta KL divergence and UMP test
hrPc Empirical UMP beta central rejection level
hrPool Empirical UMP beta pooled p-value
hrPr Empirical UMP beta marginal rejection level
hrQ Empirical UMP beta centrality quotient
hrStat UMP beta p-value pooled statistic
klDiv Compute the Kullback-Leibler divergence
marHistHeatMap Heatmap with marginal histograms
rBetaH3 Generate realizations of beta alternative distributions
rBetaH4 Generate realizations of beta alternative distributions
satterApproxP Satterthwaite p-values
satterChiPool Pool p-values using the Satterthwaite approximation