Package: SEQTaRget 1.4.2.9002

Ryan ODea

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).

Authors:Ryan O'Dea [aut, cre], Alejandro Szmulewicz [aut], Tom Palmer [aut], Paul Madley-Dowd [aut], Miguel Hernán [aut], The President and Fellows of Harvard College [cph]

SEQTaRget_1.4.2.9002.tar.gz
SEQTaRget_1.4.2.9002.zip(r-4.7)SEQTaRget_1.4.2.9002.zip(r-4.6)SEQTaRget_1.4.2.9002.zip(r-4.5)
SEQTaRget_1.4.2.9002.tgz(r-4.6-any)SEQTaRget_1.4.2.9002.tgz(r-4.5-any)
SEQTaRget_1.4.2.9002.tar.gz(r-4.7-any)SEQTaRget_1.4.2.9002.tar.gz(r-4.6-any)
SEQTaRget_1.4.1.9000.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SEQTaRget/json (API)
NEWS

# Install 'SEQTaRget' in R:
install.packages('SEQTaRget', repos = c('https://remlapmot.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/causalinference/seqtarget/issues

Pkgdown/docs site:https://causalinference.github.io

Datasets:
  • SEQdata - Simulated observational example data for SEQuential
  • SEQdata.LTFU - Simulated lost-to-followup example data for 'SEQuential()'
  • SEQdata.multitreatment - Simulated multitreatment example data for 'SEQuential()' multinomial models

On CRAN:

Conda:

as-treatedbiostatisticscausal-inferenceepidemiologyinitiatorsintention-to-treatper-protocol

7.09 score 7 stars 22 scripts 584 downloads 16 exports 51 dependencies

Last updated from:ea65b42d44. Checks:8 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK249
source / vignettesOK279
linux-release-x86_64OK300
macos-release-arm64OK176
macos-oldrel-arm64OK195
windows-develOK325
windows-releaseOK691
windows-oldrelOK352
wasm-releaseFAIL133

Exports:compeventcovariatesdenominatordiagnosticshazard_ratiokm_curvekm_datanumeratoroutcomerisk_comparisonrisk_dataSEQ_dataSEQestimateSEQoptsSEQuentialshow

Dependencies:BHbigmemorybigmemory.sriclicodetoolscpp11data.tabledigestdoFuturedoRNGevaluatefarverfastglmforeachFormulafuturefuture.applyggplot2globalsgluegtablehighrisobanditeratorsknitrlabelinglatticelifecyclelistenvmagrittrMatrixparallellyparglmR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrngtoolsS7scalesstringistringrsurvivaluuidvctrsviridisLitewithrxfunyaml

Defining your SEQopts()

Rendered fromseqopts.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-05-21
Started: 2025-09-05

Intention-To-Treat Analysis

Rendered fromITT.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-05-20
Started: 2025-09-05

Introduction to SEQuential

Rendered fromSEQuential.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-05-20
Started: 2025-09-05

Per-Protocol: Censoring Analysis

Rendered fromcensoring.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-05-21
Started: 2025-09-05

Per-Protocol: Dose-Response Analysis

Rendered fromdoseresponse.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-05-20
Started: 2025-09-05