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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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