Package: DiPs 0.6.4

DiPs: Directional Penalties for Optimal Matching in Observational Studies

Improves the balance of optimal matching with near-fine balance by giving penalties on the unbalanced covariates with the unbalanced directions. Many directional penalties can also be viewed as Lagrange multipliers, pushing a matched sample in the direction of satisfying a linear constraint that would not be satisfied without penalization. Yu and Rosenbaum (2019) <doi:10.1111/biom.13098>.

Authors:Ruoqi Yu

DiPs_0.6.4.tar.gz
DiPs_0.6.4.zip(r-4.7-any)DiPs_0.6.4.zip(r-4.6-any)DiPs_0.6.4.zip(r-4.5-any)
DiPs_0.6.4.tgz(r-4.6-any)DiPs_0.6.4.tgz(r-4.5-any)
DiPs_0.6.4.tar.gz(r-4.7-any)DiPs_0.6.4.tar.gz(r-4.6-any)
DiPs_0.6.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DiPs/json (API)

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

Bug tracker:https://github.com/ruoqiyu/dips/issues

Datasets:

On CRAN:

Conda:

2.11 score 13 scripts 403 downloads 9 exports 7 dependencies

Last updated from:5caa7008d1. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING123
source / vignettesOK184
linux-releaseWARNING140
macos-releaseWARNING176
macos-oldrelWARNING135
windows-develWARNING97
windows-releaseWARNING85
windows-oldrelWARNING93
wasm-releaseOK120

Exports:addcaliperaddDirectPenaltyaddMagnitudePenaltycheckedgenummaha_densemaha_sparsematchnet

Dependencies:BHMASSmvnfastplyrRcppRcppArmadillorlemon