splinetrials
0.1.1Facilitate Clinical Trials Analysis Using Natural Cubic Splines
Overview
Create mixed models with repeated measures using natural cubic splines applied to an observed continuous time variable, as described by Donohue et al. (2023) doi:10.1002/pst.2285. Iterate through multiple covariance structure types until one converges. Categorize observed time according to scheduled visits. Perform subgroup analyses.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 66%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
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Dependencies
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- 0.1.02025-12-18
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-12-18
- Total releases
- 2 / 1 yrs
- License
- Apache License (>= 2)
- Download size
- 241 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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