Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data R package outstandR version 2.0.0 For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiro‐Azócar A, Heath A, Baio G (2022) ``Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data'', Res. Synth. Methods, 1–31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>. Software Depends: R (>= 4.1.0) Imports: boot, cli, copula, crayon, dplyr, ggplot2, glue, pillar, purrr, rlang, rstanarm, stats, stringr, tibble, tidyr, tidyselect, Rdpack (>= 0.7), lifecycle, withr Suggests: causaldata, covr, doSNOW, gridExtra, here, knitr, maicplus, marginaleffects, MASS, parallel, reshape2, rmarkdown, stdReg2, testthat (>= 3.0.0) Nathan Green <n.green@ucl.ac.uk> Comprehensive R Archive Network (CRAN) Nathan Green [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2745-1736>, ROR: <https://ror.org/02jx3x895>), Chengyang Gao [aut], Antonio Remiro-Azocar [aut] (ORCID: <https://orcid.org/0000-0002-7263-4251>) GPL (>= 3) 2026-06-10 application/tgz https://CRAN.R-project.org/package=outstandR doi:10.32614/CRAN.package.outstandR en-GB