Type: Package
Package: refineR
Version: 1.6.0
Date: 2023-03-06
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 T., Schuetzenmeister A., Prokosch H.-U., Rauh M., Rank C.M., Zierk J. "refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data". Scientific Reports (2021) <doi:10.1038/s41598-021-95301-2>.
License: GPL (>= 3)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
LazyData: true
Packaged: 2023-03-06 15:28:39 UTC; ammert
Repository: CRAN
Date/Publication: 2023-03-08 10:40:02 UTC
Built: R 4.1.3; ; 2023-04-17 16:07:25 UTC; windows
