Package: sbw 1.1.9

Jose R. Zubizarreta

sbw: Stable Balancing Weights for Causal Inference and Missing Data

Implements the Stable Balancing Weights by Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. These are the weights of minimum variance that approximately balance the empirical distribution of the observed covariates. For an overview, see Chattopadhyay, Hase and Zubizarreta (2020) <doi:10.1002/sim.8659>. To solve the optimization problem in 'sbw', the default solver is 'quadprog', which is readily available through CRAN. The solver 'osqp' is also posted on CRAN. To enhance the performance of 'sbw', users are encouraged to install other solvers such as 'gurobi' and 'Rmosek', which require special installation. For the installation of gurobi and pogs, please follow the instructions at <https://www.gurobi.com/documentation/current/refman/r_ins_the_r_package.html> and <http://foges.github.io/pogs/stp/r>.

Authors:Jose R. Zubizarreta [aut, cre], Yige Li [aut], Kwangho Kim [aut], Amine Allouah [ctb], Noah Greifer [ctb]

sbw_1.1.9.tar.gz
sbw_1.1.9.tar.gz(r-4.5-noble)sbw_1.1.9.tar.gz(r-4.4-noble)
sbw_1.1.9.tgz(r-4.4-emscripten)sbw_1.1.9.tgz(r-4.3-emscripten)
sbw.pdf |sbw.html
sbw/json (API)

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

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

1.30 score 1 stars 624 downloads 1 mentions 4 exports 7 dependencies

Last updated 7 months agofrom:1be6bb0532. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-linuxOKJan 24 2025

Exports:estimatesbwsummarizevisualize

Dependencies:latticeMASSMatrixquadprogslamspatstat.univarspatstat.utils