Type: Package
Package: refineR
Version: 1.0.0
Date: 2021-07-29
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
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. 
	The method 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) [accepted July 21, 2021].
License: GPL (>= 3)
NeedsCompilation: no
LazyData: true
RoxygenNote: 7.1.0
Packaged: 2021-07-29 14:22:53 UTC; ammert
Repository: CRAN
Date/Publication: 2021-08-02 08:10:02 UTC
Built: R 4.0.5; ; 2022-04-18 00:09:01 UTC; windows
