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refineR
View on CRAN: Click
here
Download and install refineR package within the R console
Install from CRAN:
install.packages("refineR")
Install from Github:
library("remotes")
install_github("cran/refineR") Install by package version:
library("remotes")
install_version("refineR", "2.0.0") Attach the package and use:
library("refineR")
Maintained by
Tatjana Ammer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-02
Latest Update: 2024-08-21
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)'
. Additional guidance on the usage of
the algorithm is given in 'Ammer et al. (2023)' .
How to cite:
Tatjana Ammer (2021). refineR: Reference Interval Estimation using Real-World Data. R package version 2.0.0, https://cran.r-project.org/web/packages/refineR. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that refineR depends,
imports, suggests or enhances
Complete documentation for refineR
Functions, R codes and Examples using
the refineR R package
Some associated functions: BoxCox . addGrid . as.rgb . ashDensity . calculateCostHist . defineSearchRegions . estimateAB . findMainPeak . findPeaksAndValleys . findRI . findRoundingBase . generateHistData . getRI . getSumForPArea . invBoxCox . optimizeGrid . plot.RWDRI . pnormApprox . print.RWDRI . refineR-Package . testParam . testcase1 . testcase2 . testcase3 . testcase4 . testcase5 .
Some associated R codes: algoInvHist.R . data.R . plot.R . utils.R . Full refineR package functions and examples
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