Type: Package
Package: refineR
Version: 1.6.2
Date: 2024-08-14
Title: Reference Interval Estimation using Real-World Data
Author: Tatjana Ammer [aut, cre],
  Christopher M Rank [aut],
  Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer@roche.com>
Authors@R: c(
	person(given ="Tatjana", family ="Ammer", email ="tatjana.ammer@roche.com", role =c("aut", "cre")),
	person(given ="Christopher M", family = "Rank", email ="christopher.rank@roche.com", role ="aut"),
	person(given ="Andre", family ="Schuetzenmeister", email ="andre.schuetzenmeister@roche.com", role ="aut"))
Depends: R (>= 3.2.0)
Imports: stats, ash, future, future.apply, parallel, graphics,
        grDevices
Suggests: knitr, rmarkdown
Description: Indirect method for the estimation of reference intervals using 
	Real-World Data ('RWD'). It takes routine measurements of diagnostic 
	tests, containing pathological and non-pathological samples as input 
	and uses sophisticated statistical methods to derive a model describing 
	the distribution of the non-pathological samples. This distribution can 
	then be used to derive reference intervals. Furthermore, the package 
	offers functions for printing and plotting the results of the algorithm. 
	See ?refineR for a more comprehensive description of the features. 
	Version 1.0 of the algorithm is described in detail in 'Ammer et al. (2021)' 
	<doi:10.1038/s41598-021-95301-2>. Additional guidance on the usage of 
	the algorithm is given in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>.
License: GPL (>= 3)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
LazyData: true
Packaged: 2024-08-14 10:05:25 UTC; rankc
Repository: CRAN
Date/Publication: 2024-08-21 21:40:02 UTC
Built: R 4.4.3; ; 2025-10-08 02:15:47 UTC; windows
