R: Balancing Central and Marginal Rejection of Pooled p-Values

# Balancing Central and Marginal Rejection of Pooled p-Values

## Documentation for package ‘PoolBal’ version 0.1-0

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

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