netmatchRI - Network-Constrained Matching and Randomization-Based Inference

Provides network-constrained matching and randomization-based inference for observational network data with dependence and interference. Dual-penalty matching minimizes total covariate dissimilarity while enforcing penalties on network proximity between and within treatment arms in matched sets. Randomization-based inference combines evidence from correlated matched sets based on this design. The package also provides covariate-balance and network-distance diagnostics, sensitivity analysis, and simulated example data. The open-source 'HiGHS' solver is used by default to solve the matching problem. An optional interface to the commercial 'Gurobi Optimizer' is available. Eligible academic users can request a free license at <https://www.gurobi.com/academics/>. The optimizer can be downloaded from <https://www.gurobi.com/product/download-center>. The associated 'gurobi' R package is not available from CRAN; it is distributed with the optimizer and can be installed by following the official instructions at <https://docs.gurobi.com/projects/optimizer/en/current/reference/r/setup.html>.