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dbw

1.1.4

Doubly Robust Distribution Balancing Weighting Estimation

0packages depend
1.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Hiroto KatsumataFirst published 2024-08-281 releasesCRAN page ↗GitHub ↗

Implements the doubly robust distribution balancing weighting proposed by Katsumata (2024) doi:10.1017/psrm.2024.23, which improves the augmented inverse probability weighting (AIPW) by estimating propensity scores with estimating equations suitable for the pre-specified parameter of interest (e.g., the average treatment effects or the average treatment effects on the treated) and estimating outcome models with the estimated inverse probability weights. It also implements the covariate balancing propensity score proposed by Imai and Ratkovic (2014) doi:10.1111/rssb.12027 and the entropy balancing weighting proposed by Hainmueller (2012) doi:10.1093/pan/mpr025, both of which use covariate balancing conditions in propensity score estimation. The point estimate of the parameter of interest and its uncertainty as well as coefficients for propensity score estimation and outcome regression are produced using the M-estimation. The same functions can be used to estimate average outcomes in missing outcome cases.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
Yes
README
0
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Repository

Repository
2Stars
0Forks
2Open issues
0Open PRs
1Releases
35Commits
1Contributors
35 commits · Last activity 2024-08-28 · 0% stars, 30d

Stars over time

2024-09-03 · 12026-07-07 · 2

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
mgcv
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 2,420 (76%)Rd 757 (24%)
Code characteristics
Object systems
S33
Cyclomatic complexity
1.0 median / 54 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

46 2 exported

Complexity

3.9 avg / 54 max

Call network

46 nodes / 59 edges

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Lowest coverage

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People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-08-28
Total releases
1 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Download size
37 KB
Installed size
not tracked yet
With dependencies
not tracked yet