Matching on Generalized Propensity Scores with Continuous Exposures
Overview
Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Removed
- Strict tests.
From NEWS.md in the release
Install
Health
- OK13 OK2026-10-25
- ERROR12 OK, 1 ERROR2026-10-24
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 8 earlier changesHide 8 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-30
- ERROR13 OK, 1 ERROR2026-03-28
- OK14 OK2026-03-10
Documentation
- Help pages
- 57 (31 internal)includes a package overview page
- Examples that run
- 55%6 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 92%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 4%
- CausalGPS HTML
- contribution HTML
- estimating_gps HTML
- faq HTML
- generate_synthetic_data HTML
- generating_pseudo_population HTML
- notes_on_sl_wrapper HTML
- outcome_models HTML
- Singularity-Image HTML
- testing_the_package HTML
Downloads
Repository
- PRs merged (all time)
- 88%
- Median days to close, 50 most recently updated closed issues
- 80
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
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Releases over time
Issues over time
PRs over time
9 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/nsaph-software/causalgps on 2026-10-22.
The R CMD check workflow runs on Linux, macOS and Windows
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Dependencies
Installing CausalGPS adds 94 packages (54 with compiled code, 66 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.5.1Latest
- RR 4.5.0 released · 2025-04-11
- 0.5.02024-06-19 · diff ↗ ·
removed 3 exports
estimate_npmetric_erf, estimate_pmetric_erf, estimate_semipmetric_erfadded 3 exports
compute_counter_weight, estimate_erf, trim_it - RR 4.4.0 released · 2024-04-24
- 0.4.22024-04-13 · diff ↗
- 0.4.12023-09-30 · diff ↗
- 0.4.02023-05-25 · diff ↗
- 0.3.12023-05-16 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.3.02023-02-15 · diff ↗
- 0.2.92022-12-16 · diff ↗
- 0.2.82022-06-23 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.2.72022-02-07 · diff ↗
- unarchivedReturned to CRAN2021-09-06
Package metadata
- First published
- 2021-07-23
- Total releases
- 12 / 5 yrs
- License
- GPL-3 OSI
- Copyright
- Harvard University
- Minimum R
- ≥ 3.5.0
- Bundled data
- 660 KB / 1 file
- Download size
- 2.6 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("CausalGPS")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.48550/arxiv.2310.00561.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.