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  "Title": "High-Dimensional Mediation Analysis",
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  "Date": "2025-11-17",
  "Authors@R": "c(person(\"Yinan\",\"Zheng\", role = c(\"aut\",\"cre\"), email = \"y-zheng@northwestern.edu\", comment=c(ORCID=\"0000-0002-2006-7320\")), person(\"Haixiang\",\"Zhang\", role = c(\"aut\"), email = \"haixiang.zhang@tju.edu.cn\"), person(\"Lifang\",\"Hou\", role = c(\"aut\"), email = \"l-hou@northwestern.edu\"), person(\"Lei\",\"Liu\", role = c(\"aut\",\"cph\"), email = \"lei.liu@wustl.edu\"))",
  "Description": "Allows to estimate and test high-dimensional mediation\neffects based on advanced mediator screening and penalized\nregression techniques. Methods used in the package refer to\nZhang H, Zheng Y, Hou L, Liu L, HIMA: An R Package for\nHigh-Dimensional Mediation Analysis. Journal of Data Science.\n(2025). <doi:10.6339/25-JDS1192>.",
  "License": "GPL-3",
  "Collate": "utils.R hima_classic.R hima_dblasso.R hima_survival.R\nhima_survival_long.R hima_microbiome.R hima_quantile.R\nhima_efficient.R hima.R hima_data.R onAttach.R HIMA-package.R",
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        "hima"
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