Reference Interval Estimation using Real-World Data R package refineR version 2.0.0 Indirect method for the estimation of reference intervals (RIs) using Real-World Data ('RWD') and methods for comparing and verifying RIs. Estimates RIs by applying advanced statistical methods to routine diagnostic test measurements, which include both pathological and non-pathological samples, to model the distribution of non-pathological samples. This distribution is then used to derive reference intervals and support RI verification, i.e., deciding if a specific RI is suitable for the local population. The package also provides functions for printing and plotting algorithm results. See ?refineR for a detailed description of features. Version 1.0 of the algorithm is described in 'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional guidance is in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>. The verification method is described in 'Beck et al. (2025)' <doi:10.1515/cclm-2025-0728>. Software Depends: R (>= 3.2.0) Imports: stats, ash, future, future.apply, parallel, graphics, grDevices Suggests: knitr, rmarkdown Matthias Beck <matthias.beck.mb1@roche.com> Comprehensive R Archive Network (CRAN) Matthias Beck [aut, cre] (ORCID: <https://orcid.org/0009-0008-7678-4581>), Tatjana Ammer [aut] (ORCID: <https://orcid.org/0000-0003-2809-0266>), Christopher M Rank [aut], Andre Schuetzenmeister [aut] (ORCID: <https://orcid.org/0000-0002-2964-5502>) GPL (>= 3) 2025-11-06 application/tgz https://CRAN.R-project.org/package=refineR doi:10.32614/CRAN.package.refineR