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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nearfar/json (API)

# Install 'nearfar' in R:
install.packages('nearfar', repos = c('https://joerigdon.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.08 score 12 scripts 138 downloads 8 exports 97 dependencies

Last updated 1 years agofrom:cda395ce77. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winOKMar 26 2025
R-4.5-macOKMar 26 2025
R-4.5-linuxOKMar 26 2025
R-4.4-winOKMar 26 2025
R-4.4-macOKMar 26 2025
R-4.4-linuxOKMar 26 2025
R-4.3-winOKMar 26 2025
R-4.3-macOKMar 26 2025

Exports:angristcaliperseff_ratiomatchesopt_nearfarsmahalsumm_matchessummary.nf

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercolorspacecowplotcpp11data.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsGenSAggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnbpMatchingnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownrpartrstudioapisassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml