mmrm
0.3.18Mixed Models for Repeated Measures
Overview
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) doi:10.1177/009286150804200402 for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Install
Health
- OK2026-07-1813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Documentation
- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 93%
- References docs
- 1%
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11 development-tooling and community-health practices detected across 6 families in the upstream repository
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16 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.3.18Latest
- RR 4.6.0 released · 2026-04-24
- 0.3.172026-01-08 · diff ↗
- 0.3.162025-12-09 · diff ↗
- 0.3.152025-06-10 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.3.142024-09-28 · diff ↗
- 0.3.132024-09-23 · diff ↗
- 0.3.122024-06-26 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.3.112024-03-05 · diff ↗
- 0.3.102024-01-26 · diff ↗
- 0.3.92024-01-25 · diff ↗
- 0.3.82024-01-24 · diff ↗
- 0.3.72023-12-09 · diff ↗
- 0.3.62023-11-17 · diff ↗
Package metadata
- First published
- 2022-10-18
- Total releases
- 16 / 4 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 126 KB / 3 files
- Download size
- 912 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet