Model-Robust Standardization in Cluster-Randomized Trials
Overview
Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) doi:10.1002/sim.70270.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 67%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 83%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/deckardt98/mrstdcrt on 2026-10-25.
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 0.1.2Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.12025-11-11
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-11-11
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 109 KB / 3 files
- Download size
- 143 KB
Cite
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