NEWS for the R Package RLumModel

Changes in version 0.2.10 (2022-02-20)

This package version requires R >= 4.0

New functions

• trace_ParameterStateEvolution(): this new function allows tracing of the evolution of the concentration during the modelling for different steps. The functions returns a plot and/or numerical output of calculated end-states.

New models

• Add support for Bailey (2001) model variation of Peng et al. (2022, QG), keyword in model_LuminescenceSignals() is "Peng2022"

Bugfixes/changes

.set_pars()

• now consistently supports both spellings for the model "customized" and "customized"
• now returns a character vector with the names of the allowed keywords if model is missing. This is also internally used in model_LuminescenceSignals() to avoid inconsistencies.
• now returns also the parameter names and units as extra elements

model_LuminescenceSignals()

• The parameter own_state_parameters now accepts (optionally) an RLum.Results-class object created by RLumModel::.set_pars as input

Miscalaneous

• A new vignette, called “RLumModel - Models and parameters” was added to provide a better overview and comparison of the different models