https://zhejiadong.r-universe.devRecent package updates in zhejiadongR-universehttps://github.com/zhejiadong.pnghttps://zhejiadong.r-universe.devFri, 16 Oct 2026 01:03:55 GMTzhejia_dong@brown.edu (Zhejia Dong)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>.https://github.com/r-universe/zhejiadong/actions/runs/38878483229Fri, 16 Oct 2026 01:03:55 GMTnetmatchRI0.1.0successhttps://zhejiadong.r-universe.devhttps://github.com/zhejiadong/netmatchrinetmatchRI.RmdnetmatchRI.htmlAn Analysis Workflow with netmatchRI2026-06-03 00:16:482026-10-03 02:48:58