fdrtool — estimation of tail area-based false discovery rates (Fdr/q-values) and density-based local false discovery rates (fdr) from observed test statistics. Supports four null models: normal (z-sco
Use with AI
Install the MCP server or CLI to instantly fetch fdrtool documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/fdrtool
qvalue — Q-value estimation for false discovery rate control in multiple hypothesis testing. Estimates q-values, the proportion of true null hypotheses (pi0), and local false discovery rates from vect
2 shared topics • 2 shared operations
HDMT — High-Dimensional Mediation Testing for joint significance of exposure-mediator and mediator-outcome associations. Controls FWER and FDR for mediation hypotheses in high-dimensional settings (ep
1 shared topic • 2 shared operations
RStan — R interface to Stan for full Bayesian inference via MCMC (NUTS/HMC), approximate inference via ADVI, and penalized MLE via L-BFGS. Compile Stan programs in-process with stan() or stan_model(),
1 shared topic • 2 shared operations
Use when calculating sample size for two-sample and paired t-tests, Wilcoxon-Mann-Whitney tests on ordered categorical outcomes with ties, or Cochran-Mantel-Haenszel mean-score trend tests with the R
1 shared topic • 2 shared operations
Stan — probabilistic programming language for Bayesian statistical modeling and high-performance inference. Full Bayesian inference via No-U-Turn Sampler (NUTS/HMC), approximate inference via Automati
1 shared topic • 2 shared operations