INLA (Integrated Nested Laplace Approximations) — R package for fast approximate Bayesian inference on latent Gaussian models. Provides deterministic approximations to posterior marginals as an altern
Use with AI
Install the MCP server or CLI to instantly fetch INLA documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/inla
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
1 shared topic • 1 shared operation
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 • 1 shared operation
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
1 shared topic • 1 shared operation
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 • 1 shared operation
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 • 1 shared operation