outstandR: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data

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>.

Version:	1.0.0
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)
Suggests:	causaldata, doSNOW, gridExtra, here, knitr, maicplus, marginaleffects, MASS, parallel, reshape2, rmarkdown, stdReg2, testthat (≥ 3.0.0)
Published:	2026-01-21
DOI:	10.32614/CRAN.package.outstandR (may not be active yet)
Author:	Nathan Green [aut, cre, cph], Chengyang Gao [aut], Antonio Remiro-Azocar [aut]
Maintainer:	Nathan Green <n.green at ucl.ac.uk>
BugReports:	https://github.com/StatisticsHealthEconomics/outstandR/issues/
License:	GPL (≥ 3)
URL:	https://StatisticsHealthEconomics.github.io/outstandR/
NeedsCompilation:	no
Language:	en-GB
Materials:	README, NEWS
CRAN checks:	outstandR results

Documentation:

Reference manual:

outstandR.html , outstandR.pdf

Downloads:

Package source:	outstandR_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): outstandR_1.0.0.tgz, r-oldrel (x86_64): outstandR_1.0.0.tgz

Linking:

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