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SEQTaRget: Sequential Trial Emulation

Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).

Version: 0.13.1
Depends: R (≥ 4.1)
Imports: data.table, doFuture, doRNG, fastglm, future, future.apply, ggplot2, knitr, methods, stringr, survival
Suggests: rmarkdown, testthat (≥ 3.0.0)
Published: 2025-09-15
Author: Ryan O'Dea ORCID iD [aut, cre], Alejandro Szmulewicz ORCID iD [aut], Miguel Hernan ORCID iD [aut], The President and Fellows of Harvard College ROR ID [cph]
Maintainer: Ryan O'Dea <ryanodea at hsph.harvard.edu>
License: MIT + file LICENSE
URL: https://causalinference.github.io/SEQuential/
NeedsCompilation: no
Materials: README
CRAN checks: SEQTaRget results

Documentation:

Reference manual: SEQTaRget.html , SEQTaRget.pdf
Vignettes: Intention-To-Treat Analysis (source, R code)
Introduction to SEQuential (source, R code)
Per-Protocol: Censoring Analysis (source, R code)
Per-Protocol: Dose-Response Analysis (source, R code)
Defining your SEQopts() (source, R code)

Downloads:

Package source: SEQTaRget_0.13.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SEQTaRget to link to this page.

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.
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