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  "Title": "Computing Scales of Spatial Smoothing for Confounding Adjustment",
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  "Authors@R": "c(person(\"Kayleigh\", \"Keller\", email = \"kayleigh.keller@colostate.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Maddie\", \"Rainey\", email = \"maddie.rainey@colostate.edu\", role = \"aut\"))",
  "Author": "Kayleigh Keller [aut, cre], Maddie Rainey [aut]",
  "Maintainer": "Kayleigh Keller <kayleigh.keller@colostate.edu>",
  "Description": "Computes the effective range of a smoothing matrix, which\nis a measure of the distance to which smoothing occurs. This is\nmotivated by the application of spatial splines for adjusting\nfor unmeasured spatial confounding in regression models, but\nthe calculation of effective range can be applied to smoothing\nmatrices in other contexts. For algorithmic details, see Rainey\nand Keller (2024) \"spconfShiny: an R Shiny application...\"\n<doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020)\n\"Selecting a Scale for Spatial Confounding Adjustment\"\n<doi:10.1111/rssa.12556>.",
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