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.