splinetrials: Facilitate Clinical Trials Analysis Using Natural Cubic Splines
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.
| Version: |
0.1.0 |
| Imports: |
car, cli, dplyr, emmeans, mmrm (≥ 0.3.16), rlang, splines |
| Suggests: |
ggplot2, testthat (≥ 3.0.0) |
| Published: |
2025-12-18 |
| DOI: |
10.32614/CRAN.package.splinetrials (may not be active yet) |
| Author: |
Nik Krieger [aut, cre],
Daniel Sabanes Bove [ctb],
Eli Lilly and Company [cph] |
| Maintainer: |
Nik Krieger <nikkrieger at gmail.com> |
| BugReports: |
https://github.com/NikKrieger/splinetrials/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://github.com/NikKrieger/splinetrials,
https://nikkrieger.github.io/splinetrials/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
splinetrials results |
Documentation:
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