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.tar.gz(r-4.5-noble)pm3_0.2.0.tar.gz(r-4.4-noble)
pm3_0.2.0.tgz(r-4.4-emscripten)pm3_0.2.0.tgz(r-4.3-emscripten)
pm3.pdf |pm3.html✨
pm3/json (API)

# Install 'pm3' in R:
install.packages('pm3', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • prematurity - A data on indicators for premature newborns.

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

1 exports 0.00 score 54 dependencies 356 downloads

Last updated 2 months agofrom:2d9286f6e3. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linuxOKAug 22 2024

Exports:pm3

Dependencies:bitbit64classclicliprcpp11crayonDBIdplyre1071fansiforcatsgdatagenericsgluegmodelsgtoolshavenhmslabelledlatticelifecyclemagrittrMASSMatrixminqamitoolsnlmenumDerivpillarpkgconfigprettyunitsprogressproxypurrrR6RcppRcppArmadilloreadrrlangstringistringrsurveysurvivaltableonetibbletidyrtidyselecttzdbutf8vctrsvroomwithrzoo