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OnlineSurr: Surrogate Evaluation for Jointly Longitudinal Outcome and Surrogate

Tools for surrogate evaluation in longitudinal studies using state-space models as proposed in Santos Jr. and Parast (2026)<doi:10.48550/arXiv.2604.12882>. The package estimates treatment effects over time with and without adjustment for surrogate information, summarizes the proportion of treatment effect explained by a longitudinal surrogate, quantifies uncertainty via bootstrap resampling, and provides plotting and summary utilities for fitted models.

Version: 0.0.4
Depends: R (≥ 4.1.0)
Imports: kDGLM (≥ 1.2.14), dplyr, ggplot2, tidyr, rlang, Rfast, stats, latex2exp, Rdpack
Suggests: knitr, rmarkdown
Published: 2026-04-22
DOI: 10.32614/CRAN.package.OnlineSurr
Author: Silvaneo dos Santos Jr. [aut, cre], Layla Parast [aut]
Maintainer: Silvaneo dos Santos Jr. <silvaneojunior at utexas.edu>
BugReports: https://github.com/silvaneojunior/OnlineSurr/issues
License: GPL (≥ 3)
URL: https://silvaneojunior.github.io/OnlineSurr/
NeedsCompilation: no
Citation: OnlineSurr citation info
Materials: README
CRAN checks: OnlineSurr results

Documentation:

Reference manual: OnlineSurr.html , OnlineSurr.pdf
Vignettes: OnlineSurr: Fitting marginal/conditional models and computing LPTE/CPTE (source, R code)

Downloads:

Package source: OnlineSurr_0.0.4.tar.gz
Windows binaries: r-release: OnlineSurr_0.0.4.zip, r-oldrel: OnlineSurr_0.0.4.zip
macOS binaries: r-release (arm64): OnlineSurr_0.0.4.tgz, r-oldrel (arm64): OnlineSurr_0.0.4.tgz, r-release (x86_64): OnlineSurr_0.0.4.tgz, r-oldrel (x86_64): OnlineSurr_0.0.4.tgz
Old sources: OnlineSurr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.