Changes in version 2.0.0 (2025-11-06)                  

The new version includes the following updates and improvements:

  - Added functionality for verification of reference intervals

  - Uncertainty margins estimated for verification of reference
    intervals can be printed and plotted

  - Added green and blue color scheme to the plot function

  - RIbench benchmark score: 0.300, Failure rate: 0.0, Implausible
    Results: 0.069%

                 Changes in version 1.6.2 (2024-08-21)                  

The new version includes the following updates and improvements:

  - Restriction of the search region of lambda to the range 0.0 to 1.0
    (before it was 0.0 to 1.5)

  - Slight modification of model estimation for small sample sizes (N
    < 1000)

  - Performance improvements, especially for data sets with small sample
    sizes (N < 1000)

  - RIbench benchmark score: 0.300, Failure rate: 0.0, Implausible
    Results: 0.069%

                 Changes in version 1.6.1 (2023-11-14)                  

The new version includes the following updates and improvements:

  - Revised vignette and literature information

  - Slight modification of search region for the fraction of
    non-pathological samples

  - RIbench benchmark score: 0.307, Failure rate: 0.0, Implausible
    Results: 0.122%

                 Changes in version 1.6.0 (2023-03-08)                  

The new version includes the following updates and improvements:

  - Using the truncated normal distribution now as basic model
    assumption

  - Additional regularization term in cost function to control the fit
    at the tails of the distribution

  - The median bootstrapping model (pointEst="medianBS") now corresponds
    to one parametric model selected from all bootstrapping models

  - Some modifications in plot function, e.g. adjusted default xlim

  - Slight modification of print function

  - RIbench benchmark score: 0.307, Failure rate: 0.0, Implausible
    Results: 0.122%

                 Changes in version 1.5.1 (2022-07-19)                  

The new version includes the following updates and improvements:

  - Adjusted computation of the roundingBase to now also handle data not
    rounded to power of 10 (e.g. data that was rounded prior to unit
    conversion)

  - Vignette ('refineR_package') demonstrating the main functions of the
    package

  - RIbench benchmark score: 0.307, Failure rate: 0.0, Implausible
    Results: 0.625%

                 Changes in version 1.5.0 (2022-06-03)                  

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

  - RIbench benchmark score: 0.307, Failure rate: 0.0, Implausible
    Results: 0.625%
    Detailed description can be found in Ammer, T., Ammer,
    T.,Schuetzenmeister, A., Prokosch, HU., Zierk, J., Rank, C.M., Rauh,
    M. RIbench: A Proposed Benchmark for the Standardized Evaluation of
    Indirect Methods for Reference Interval Estimation. Clinical
    Chemistry (2022)

                 Changes in version 1.0.0 (2021-08-02)                  

  - 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).