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R packages for distributed and integrated inference
R packages for distributed and integrated inference
- DIMM: Performs distributed and integrated method of moments regression for high- dimensional correlated responses. Divides outcomes into blocks, analyses blocks using composite likelihood, and combines estimators using a one-step update or an optimal generalized method of moments (GMM) equation.
- DDIMM: Performs doubly distributed and integrated method of moments regression for high-dimensional correlated responses. Divides outcomes and subjects into blocks, analyses blocks using composite likelihood or generalized estimating equations, and combines estimators using a one-step update or an optimal GMM equation.
- DIQIF: Performs doubly distributed and integrated method of moments regression for high-dimensional correlated responses. Divides outcomes and subjects into blocks, analyses blocks using composite likelihood, generalized estimating equations or quadratic inference functions, and combines estimators using a one-step update or an optimal GMM equation following a pre-specified homogeneity partition index.
