Package: nearfar 1.3

nearfar: Near-Far Matching

Near-far matching is a study design technique for preprocessing observational data to mimic a pair-randomized trial. Individuals are matched to be near on measured confounders and far on levels of an instrumental variable. Methods outlined in further detail in Rigdon, Baiocchi, and Basu (2018) <doi:10.18637/jss.v086.c05>.

Authors:Joseph Rigdon <[email protected]>

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8 exports 0.09 score 94 dependencies 11 scripts 189 downloads

Last updated 8 months agofrom:cda395ce77. Checks:OK: 7. Indexed: yes.

Exports:angristcaliperseff_ratiomatchesopt_nearfarsmahalsumm_matchessummary.nf

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercolorspacecowplotcpp11data.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsGenSAggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnbpMatchingnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml