Crandore Hub

refineR

Reference Interval Estimation using Real-World Data

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>.

Versions across snapshots

VersionRepositoryFileSize
2.0.0 rolling linux/jammy R-4.5 refineR_2.0.0.tar.gz 4.5 MiB
2.0.0 rolling linux/noble R-4.5 refineR_2.0.0.tar.gz 4.5 MiB
2.0.0 rolling source/ R- refineR_2.0.0.tar.gz 4.2 MiB
2.0.0 latest linux/jammy R-4.5 refineR_2.0.0.tar.gz 4.5 MiB
2.0.0 latest linux/noble R-4.5 refineR_2.0.0.tar.gz 4.5 MiB
2.0.0 latest source/ R- refineR_2.0.0.tar.gz 4.2 MiB
2.0.0 2026-04-26 source/ R- refineR_2.0.0.tar.gz 4.2 MiB
2.0.0 2026-04-23 source/ R- refineR_2.0.0.tar.gz 4.2 MiB
2.0.0 2026-04-09 windows/windows R-4.5 refineR_2.0.0.zip 4.5 MiB
1.6.2 2025-04-20 source/ R- refineR_1.6.2.tar.gz 3.7 MiB

Dependencies (latest)

Imports

Suggests