Package: pm3 0.2.0

Qiang LIU

pm3: Propensity Score Matching for Unordered 3-Group Data

You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.

Authors:Qiang LIU [aut, cre]

pm3_0.2.0.tar.gz
pm3_0.2.0.zip(r-4.7-any)pm3_0.2.0.zip(r-4.6-any)
pm3_0.2.0.tar.gz(r-4.7-any)pm3_0.2.0.tar.gz(r-4.6-any)
pm3_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pm3/json (API)

# Install 'pm3' in R:
install.packages('pm3', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • prematurity - A data on indicators for premature newborns.

On CRAN:

Conda:

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

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Last updated from:2d9286f6e3. Checks:6 OK. Indexed: yes.

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linux-develOK157
source / vignettesOK168
linux-releaseOK136
windows-develOK77
windows-releaseOK87
wasm-releaseOK106

Exports:pm3

Dependencies:bitbit64classclicliprcpp11crayonDBIdplyre1071forcatsgdatagenericsgluegmodelsgtoolshavenhmslabelledlatticelifecyclemagrittrMASSMatrixminqamitoolsnlmenumDerivpillarpkgconfigprettyunitsprogressproxypurrrR6RcppRcppArmadilloreadrrlangstringistringrsurveysurvivaltableonetibbletidyrtidyselecttzdbutf8vctrsvroomwithrzoo