RLumModel - v0.2.8

CRAN release

by Sebastian Kreutzer and Johannes Friedrich (April 8, 2021)

---

A few minutes ago, we released a new version of RLumModel; or famous luminescence modelling package. Do I need to upgrade? Not really, except you have encountered problems with the package and an older R version (<3.6.0). The update was mainly for keeping the code basis young and adding a tiny new feature, returning the modelling parameters in the @info slot. This way, you can verify the applied settings without reading the original articles (still always recommended) or searching in the source code: Example:

library(RLumModel)

output <- model.output <- model_LuminescenceSignals(
  sequence = list(
    IRR = c(20, 10, 1),
    TL = c(20, 400, 5)
  ),
  plot = FALSE, 
  verbose = FALSE,
  model = "Bailey2001"
)

output@info

## $sequence
## $sequence$IRR
##      temp      dose dose_rate 
##        20        10         1 
## 
## $sequence$TL
##   temp_begin     temp_end heating_rate 
##           20          400            5 
## 
## 
## $parms
## $parms$N
## [1] 1.5e+07 1.0e+07 1.0e+09 2.5e+08 5.0e+10 3.0e+08 1.0e+10 5.0e+09 1.0e+11
## 
## $parms$E
## [1] 0.97 1.55 1.70 1.72 2.00 1.43 1.75 5.00 5.00
## 
## $parms$s
## [1] 5e+12 5e+14 5e+13 5e+14 1e+10 5e+13 5e+14 1e+13 1e+13
## 
## $parms$A
## [1] 1e-08 1e-08 1e-09 5e-10 1e-10 5e-07 1e-09 1e-10 1e-09
## 
## $parms$B
## [1] 0e+00 0e+00 0e+00 0e+00 0e+00 5e-09 5e-10 1e-10 1e-10
## 
## $parms$Th
## [1] 0.75 0.00 6.00 4.50 0.00
## 
## $parms$E_th
## [1] 0.10 0.00 0.10 0.13 0.00
## 
## $parms$n
## 
##  [RLum.Results-class]
##   originator: .set_pars()
##   data: 2
##       .. $n : numeric
##   .. $temp : numeric
##   additional info elements:  0 
## 
## $parms$k_B
## [1] 8.617e-05
## 
## $parms$W
## [1] 0.64
## 
## $parms$K
## [1] 2.8e+07
## 
## $parms$model
## [1] "Bailey2001"
## 
## 
## $originators
## [1] ".simulate_irradiation" ".simulate_pause"       ".simulate_TL"