Sequential Trial Emulation R package SEQTaRget version 1.4.3 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). Software Depends: R (>= 4.1) Imports: data.table, parglm, doFuture, doRNG, fastglm, future, future.apply, ggplot2, knitr, methods, stringr, survival, parallelly Suggests: rmarkdown, testthat (>= 3.0.0) Ryan O'Dea <ryan.odea@psi.ch> Comprehensive R Archive Network (CRAN) Ryan O'Dea [aut, cre] (ORCID: <https://orcid.org/0009-0000-0103-9546>), Alejandro Szmulewicz [aut] (ORCID: <https://orcid.org/0000-0002-2664-802X>), Tom Palmer [aut] (ORCID: <https://orcid.org/0000-0003-4655-4511>, ROR: <https://ror.org/0524sp257>), Paul Madley-Dowd [aut] (ORCID: <https://orcid.org/0000-0003-2932-9486>), Miguel Hernán [aut] (ORCID: <https://orcid.org/0000-0003-1619-8456>), The President and Fellows of Harvard College [cph] (ROR: <https://ror.org/03vek6s52>) MIT + file LICENSE (https://CRAN.R-project.org/package=SEQTaRget/LICENSE) 2026-06-23 application/tgz https://CRAN.R-project.org/package=SEQTaRget doi:10.32614/CRAN.package.SEQTaRget