CRAN release ‘Luminescence’ v1.3.1
by RLum.Network (September 18, 2026)
We are proud to announce the release of 'Luminescence' version 1.3.1.
This is a minor release coming only two months after our previous release.
This release comes with a number of regression fixes, graphical improvements
and general increased robustness.
Have a look at the post for the 1.3.1 release on the REPLAY website for more details on what has changed in the package. Here is a quick rundown of the most important changes.
Highlights
fit_DoseResponseCurve()has seen further correctness work thay may have some impact on analyses. Due to incorrect initialisation of the vector storing the Monte Carlo results (being initialised to 0 instead ofNA), the Monte Carlo error was slightly overestimated when any MC model failed to fit.As a way to establish whether an analysis run with Luminescence <= 1.3.0 is affected by this issue, you can count the number of failed MC runs in the results object by running
sum(is.na(results$De.MC)). A value greater than 0 means that the error estimation is affected; quantifying by how much is not possible without rerunning the analysis with v1.3.1, but the size of the effect grows with the proportion of failed runs (sum(is.na(results$De.MC)) / length(results$De.MC)), and in non-pathological cases it should be very small.Support for the
pt.cexparameter to control the size of points independently of cex has been added to the following functions:analyse_Al2O3C_CrossTalk()analyse_Al2O3C_ITC()analyse_FadingMeasurement()analyse_IRSAR.RF()plot_AbanicoPlot()plot_DoseResponseCurve()plot_DRCSummary()plot_DRTResults()plot_Histogram()plot_KDE()plot_RadialPlot()
analyse_IRSAR.RF()has seen a number of fixes, among which the most noticeable is the use of black (instead of green) for the regeneration points, in order to guarantee greater contrast against the natural points. This should improve readability for people with red-green colour blindness and for black-and-white printing. Moreover, point colours can now be freely customised via the newcol_natandcol_regparameters.analyse_SAR.CWOSL()now supports settingrecuperation_reference = "Rmax"to select the point with highest dose as reference in the calculation of the recuperation rate.calc_MinDose()allows to disable the second-level bootstrap entirely by settingbs.N = 0, in which case it uses a classic bootstrap, as opposed to the recycled bootstrap that would be run by default.plot_AbanicoPlot()can now plot datasets containing only one observation, and has a more featured interactive mode.
To see all the other gory details on what has changed, please see the 1.3.1 release page on GitHub.
Let’s get ready for autumn with a refreshed Luminescence!
Your R Luminescence Team