CRAN release ‘Luminescence’ v1.1.1

by RLum.Network (September 11, 2025)

Three months exactly after our previous release, we are happy to announce the release of 'Luminescence' version 1.1.1. While the version number indicates that this is a minor release, it includes some important regression fixes, so we encourage everyone to upgrade.

If you find the highlights below too concise, we have a more in-depth look in the post for the 1.1.1 release on the REPLAY website.

Highlights

  • correct_PMTLinearity() is a new function that helps correct the linearity of photomultiplier tube (PMT) counts to avoid saturation effects.

  • plot_DoseResponseCurve() fixes a regression (also affecting analyse_SAR.CWOSL() and analyse_pIRIRSequence()) that resulted in a mismatch between the legend symbols and the plotted regeneration/dose points. Additionally, some graphical improvements have been implemented, including support for logarithmic axes.

  • plot_DRCSummary() fixes a regression that prevented the dose-response curve from being plotted, resulting in an empty plot.

  • calc_Huntley2006() fixes a regression that caused it to perform much more work than necessary, with noticeable impact with large values of Monte Carlo iterations requested. The fix brings a 2x speedup when 10,000 MC iterations (the default) are used.

  • fit_DoseResponseCurve() computes the De.MC, De.Error and Highest Density Intervals (HPDI) more correctly for mode = "interpolation" on data sets for which the fit produces a negative De value. Moreover the HPDI is reported in more cases, while before it was not computed when any of the fits in the Monte Carlo iterations reported NA.

  • smooth_RLum() adds support for the Poisson smoother of Carter et al. (2018), which is helpful to ensure that the dark-background counts signals measured by a photomultiplier tube follow a Poisson statistic, smoothing non-conforming values according to an average over four neighbours.

To see all the other gory details on what has changed, please see the 1.1.1 release page on GitHub.

Happy times with Luminescence!

Your R Luminescence Team