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splinetrials  

Facilitate Clinical Trials Analysis Using Natural Cubic Splines
View on CRAN: Click here


Download and install splinetrials package within the R console
Install from CRAN:
install.packages("splinetrials")

Install from Github:
library("remotes")
install_github("cran/splinetrials")

Install by package version:
library("remotes")
install_version("splinetrials", "0.1.1")



Attach the package and use:
library("splinetrials")
Maintained by
Nik Krieger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-18
Latest Update: 2025-12-18
Description:
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.
How to cite:
Nik Krieger (2025). splinetrials: Facilitate Clinical Trials Analysis Using Natural Cubic Splines. R package version 0.1.1, https://cran.r-project.org/web/packages/splinetrials. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 0.1.0 (2025-12-18 15:20)
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View splinetrials citation profile
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Complete documentation for splinetrials
Functions, R codes and Examples using the splinetrials R package
Full splinetrials package functions and examples
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