Sensitivity Analysis for Unmeasured Confounding in Longitudinal Studies R package LongitudinalEvalue version 0.1.0 Evaluates the sensitivity of a given association to unmeasured confounding. The package consists of three functions. The first starts a 'shiny' app which assesses how strong a time-invariant confounder needs to be associated with the exposure and outcome to explain away a proposed causal association. The second and third functions simulate a time-dependent confounder over time either using a fit from the qmle() function from the 'yuima' package or directly using the observed effect estimate. Software Depends: R (>= 3.5) Imports: ggplot2, yuima, methods, np, matrixStats, stats, rlang, zoo Suggests: knitr, rmarkdown, shiny, bookdown Andreas Kristian Pedersen <andreaskpedersen@hotmail.com> Comprehensive R Archive Network (CRAN) Andreas Kristian Pedersen [aut, cre], Anna Mejldal [ctb], Afsaneh M. Nejad [ctb], Kristian Debrabant [aut], Sören Möller [aut] GPL-3 2026-08-03 application/tgz https://CRAN.R-project.org/package=LongitudinalEvalue doi:10.32614/CRAN.package.LongitudinalEvalue