Design and Analysis Tools for Target Trial Emulation R package TTE version 1.1.1 Design and analysis tools for target trial emulation using longitudinal observational data. Functions are provided for checking person-period data, expanding longitudinal data into sequentially nested trials, estimating inverse probability weights for intention-to-treat and per-protocol analyses, and assessing weight distributions and covariate balance. Additional functions fit weighted pooled discrete-time outcome models, obtain standardized risks and treatment contrasts, and estimate weighted Kaplan-Meier and Aalen-Johansen curves. Two worked examples based on fully synthetic data illustrate an active-comparator new-user study comparing sodium-glucose cotransporter 2 inhibitors with dipeptidyl peptidase-4 inhibitors and an analysis of sequentially nested trials comparing angiotensin receptor blocker and calcium channel blocker strategies. Software Depends: R (>= 4.1.0) Imports: graphics, nnet, sandwich, stats, utils Suggests: testthat (>= 3.0.0) Hisashi Noma <noma@ism.ac.jp> Comprehensive R Archive Network (CRAN) Hisashi Noma [aut, cre] (ORCID: <https://orcid.org/0000-0002-2520-9949>) GPL-3 2026-08-02 application/tgz https://CRAN.R-project.org/package=TTE doi:10.32614/CRAN.package.TTE