Package: tightenBlock 0.1.7

tightenBlock: Tightens an Observational Block Design by Balanced Subset Matching

Tightens an observational block design into a smaller design with either smaller or fewer blocks while controlling for covariates. The method uses fine balance, optimal subset matching (Rosenbaum, 2012 <doi:10.1198/jcgs.2011.09219>) and two-criteria matching (Zhang et al 2023 <doi:10.1080/01621459.2021.1981337>). The main function is tighten(). The suggested 'rrelaxiv' package for solving minimum cost flow problems: (i) derives from Bertsekas and Tseng (1988) <doi:10.1007/BF02288322>, (ii) is not available on CRAN due to its academic license, (iii) may be downloaded from GitHub at <https://github.com/josherrickson/rrelaxiv/>, (iv) is not essential to use the package.

Authors:Paul Rosenbaum [aut, cre]

tightenBlock_0.1.7.tar.gz
tightenBlock_0.1.7.zip(r-4.7-any)tightenBlock_0.1.7.zip(r-4.6-any)tightenBlock_0.1.7.zip(r-4.5-any)
tightenBlock_0.1.7.tgz(r-4.6-any)tightenBlock_0.1.7.tgz(r-4.5-any)
tightenBlock_0.1.7.tar.gz(r-4.7-any)tightenBlock_0.1.7.tar.gz(r-4.6-any)
tightenBlock_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
tightenBlock/json (API)

# Install 'tightenBlock' in R:
install.packages('tightenBlock', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • aHDLt - Alcohol and HDL Cholesterol

On CRAN:

Conda:

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

1.00 score 201 downloads 6 exports 5 dependencies

Last updated from:3e699d5a04. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK192
linux-release-x86_64OK123
macos-release-arm64OK114
macos-oldrel-arm64OK115
windows-develOK82
windows-releaseOK83
windows-oldrelOK90
wasm-releaseOK99

Exports:addMahaladdNearExactmakematchmakenetworkstartcosttighten

Dependencies:MASSplyrrcbalanceRcpprlemon