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DiPs  

Directional Penalties for Optimal Matching in Observational Studies
View on CRAN: Click here


Download and install DiPs package within the R console
Install from CRAN:
install.packages("DiPs")

Install from Github:
library("remotes")
install_github("cran/DiPs")

Install by package version:
library("remotes")
install_version("DiPs", "0.6.4")



Attach the package and use:
library("DiPs")
Maintained by
Ruoqi Yu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2022-08-07
Description:
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) .
How to cite:
Ruoqi Yu (2018). DiPs: Directional Penalties for Optimal Matching in Observational Studies. R package version 0.6.4, https://cran.r-project.org/web/packages/DiPs. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1.1 (2018-11-19 20:20), 0.2.0 (2018-12-09 06:10), 0.3.0 (2019-05-03 18:20), 0.4.0 (2019-08-27 08:10), 0.5.0 (2019-09-18 06:50), 0.6.0 (2020-02-10 23:30), 0.6.1 (2020-04-11 07:00), 0.6.2 (2021-03-21 09:00), 0.6.3 (2022-06-01 02:00), (2026-07-09 08:02)
Other packages that cited DiPs R package
View DiPs citation profile
Other R packages that DiPs depends, imports, suggests or enhances
Complete documentation for DiPs
Functions, R codes and Examples using the DiPs R package
Some associated functions: addDirectPenalty . addMagnitudePenalty . addcaliper . check . edgenum . maha_dense . maha_sparse . match . net . nh0506Homocysteine . 
Some associated R codes: addDirectPenalty.R . addMagnitudePenalty.R . addcaliper.R . check.R . edgenum.R . maha_dense.R . maha_sparse.R . match.R . net.R .  Full DiPs package functions and examples
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