Package: mmsample 0.1

Eoin OConnell

mmsample: Multivariate Matched Sampling

Subset a control group to match an intervention group on a set of features using multivariate matching and propensity score calipers. Based on methods in Rosenbaum and Rubin (1985).

Authors:Eoin O'Connell [aut, cre]

mmsample_0.1.tar.gz
mmsample_0.1.zip(r-4.7-x86_64)mmsample_0.1.zip(r-4.7-arm64)mmsample_0.1.zip(r-4.6-x86_64)mmsample_0.1.zip(r-4.6-arm64)
mmsample_0.1.tar.gz(r-4.7-arm64)mmsample_0.1.tar.gz(r-4.7-x86_64)mmsample_0.1.tar.gz(r-4.6-arm64)mmsample_0.1.tar.gz(r-4.6-x86_64)
mmsample_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mmsample/json (API)

# Install 'mmsample' in R:

install.packages('mmsample', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

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

openblas cpp

1.00 score 2 scripts 232 downloads 2 exports 3 dependencies

Last updated from:0e4dc247c0. Checks:10 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	101
linux-devel-x86_64	OK	145
source / vignettes	OK	165
linux-release-arm64	OK	77
linux-release-x86_64	OK	100
windows-devel-arm64	OK	227
windows-devel-x86_64	OK	126
windows-release-arm64	OK	182
windows-release-x86_64	OK	141
wasm-release	OK	88