The new version includes the following updates and improvements:
Adjusted detection of rounding to now also handle data not rounded to the power of 10 (e.g. data that was rounded prior to unit conversion)
Added a vignette (‘refineR_package’) demonstrating the main functions of the package
The new version includes the following updates and improvements:
More fine-grained search region for lambda
(lambdaVec)
Option to use the two-parameter (modified) Box-Cox transformation
(findRI(Data = Data, model = "modBoxCox"))
Update of calculation of costs: new factor to account for small deviations from the assumption of a unimodal distribution of non-pathological samples
Adapted definition of region of test results that characterizes the non-pathological distribution
Improved performance for skewed distributions
Initial version put on CRAN
Detailed description of the method can be found in Ammer, T., Schuetzenmeister, A., Prokosch, HU., Rauh, M., Rank, C.M., Zierk, J. refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data. Sci Rep 11, 16023 (2021).