Package: rcbsubset 1.1.7
Samuel D. Pimentel
rcbsubset: Optimal Subset Matching with Refined Covariate Balance
Tools for optimal subset matching of treated units and control units in observational studies, with support for refined covariate balance constraints, (including fine and near-fine balance as special cases). A close relative is the 'rcbalance' package. See Pimentel, et al.(2015) <doi:10.1080/01621459.2014.997879> and Pimentel and Kelz (2020) <doi:10.1080/01621459.2020.1720693>. The rrelaxiv package, which provides an alternative solver for the underlying network flow problems, carries an academic license and is not available on CRAN, but may be downloaded from Github at <https://github.com/josherrickson/rrelaxiv/>.
Authors:
rcbsubset_1.1.7.tar.gz
rcbsubset_1.1.7.tar.gz(r-4.5-noble)rcbsubset_1.1.7.tar.gz(r-4.4-noble)
rcbsubset_1.1.7.tgz(r-4.4-emscripten)rcbsubset_1.1.7.tgz(r-4.3-emscripten)
rcbsubset.pdf |rcbsubset.html✨
rcbsubset/json (API)
# Install 'rcbsubset' in R: |
install.packages('rcbsubset', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:428b1199c5. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-linux | NOTE | Oct 26 2024 |
Exports:add.layerdist2netdist2net.matrixpenalize.near.exactpenalty.updatercbsubset
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Optimal Subset Matching with Refined Covariate Balance | rcbsubset-package |
Building and Manipulating Network Flow Problems | add.layer dist2net dist2net.matrix penalize.near.exact penalty.update remove.layer |
Optimal Matching with Refined Covariate Balance | rcbsubset |