Package: MARMoT 0.0.4

MARMoT: Matching on Poset-Based Average Rank for Multiple Treatments (MARMoT)

It contains the function to apply MARMoT balancing technique discussed in: Silan, Boccuzzo, Arpino (2021) <doi:10.1002/sim.9192>, Silan, Belloni, Boccuzzo, (2023) <doi:10.1007/s10260-023-00695-0>; furthermore it contains a function for computing the Deloof's approximation of the average rank (and also a parallelized version) and a function to compute the Absolute Standardized Bias.

Authors:Alberto Calore [aut, cre], Pietro Belloni [aut], Margherita Silan [aut]

MARMoT_0.0.4.tar.gz
MARMoT_0.0.4.zip(r-4.5)MARMoT_0.0.4.zip(r-4.4)MARMoT_0.0.4.zip(r-4.3)
MARMoT_0.0.4.tgz(r-4.5-any)MARMoT_0.0.4.tgz(r-4.4-any)MARMoT_0.0.4.tgz(r-4.3-any)
MARMoT_0.0.4.tar.gz(r-4.5-noble)MARMoT_0.0.4.tar.gz(r-4.4-noble)
MARMoT_0.0.4.tgz(r-4.4-emscripten)MARMoT_0.0.4.tgz(r-4.3-emscripten)
MARMoT.pdf |MARMoT.html✨
MARMoT/json (API)

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

Bug tracker:https://github.com/albertocalore/marmot/issues

Datasets:
  • MARMoT_data - Data to showcase MARMoT and ASB functions
  • deloof_data - Data to showcase deloof and mcdeloof functions

On CRAN:

asbaverage-rankposetpropensity-scorepropensity-scorestemplate-matching

2.70 score 6 scripts 163 downloads 4 exports 15 dependencies

Last updated 6 months agofrom:40d2980587. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-winOKFeb 12 2025
R-4.5-macOKFeb 12 2025
R-4.5-linuxOKFeb 12 2025
R-4.4-winOKFeb 12 2025
R-4.4-macOKFeb 12 2025
R-4.3-winOKFeb 12 2025
R-4.3-macOKFeb 12 2025

Exports:ASBdeloofMARMoTmcdeloof

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixnetrankrparsecpkgconfigRcppRcppArmadillorlangvctrs