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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | splinetrials_0.1.1.tar.gz |
324.5 KiB |
0.1.1 |
rolling linux/noble R-4.5 | splinetrials_0.1.1.tar.gz |
324.5 KiB |
0.1.1 |
rolling source/ R- | splinetrials_0.1.1.tar.gz |
240.6 KiB |
0.1.1 |
latest linux/jammy R-4.5 | splinetrials_0.1.1.tar.gz |
324.5 KiB |
0.1.1 |
latest linux/noble R-4.5 | splinetrials_0.1.1.tar.gz |
324.5 KiB |
0.1.1 |
latest source/ R- | splinetrials_0.1.1.tar.gz |
240.6 KiB |
0.1.1 |
2026-04-26 source/ R- | splinetrials_0.1.1.tar.gz |
240.6 KiB |
0.1.1 |
2026-04-23 source/ R- | splinetrials_0.1.1.tar.gz |
240.6 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | splinetrials_0.1.1.zip |
327.7 KiB |