Numeric Routines for Optically Stimulated Luminescence Dating


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Documentation for package ‘numOSL’ version 2.8

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numOSL-package Package for tackling basic numeric problems in optically stimulated luminescence dating
analyseBINdata BIN data analysis
analyseBINdata.default BIN data analysis
analyseBINdata0 BIN data analysis
analyseBINdata0.default BIN data analysis
as_analyseBIN Transfom SAR data sets into S3 class object "analyseBIN"
as_analyseBIN.default Transfom SAR data sets into S3 class object "analyseBIN"
BIN BIN data
calDA Dose rate and age calculation
calDA.default Dose rate and age calculation
calDAbatch Dose rate and age calculation
calDAbatch.default Dose rate and age calculation
calED Equivalent dose calculation and error assessment
calED.default Equivalent dose calculation and error assessment
calRcyRcp Recycling ratio and recuperation calculation
calRcyRcp.default Recycling ratio and recuperation calculation
calSARED SAR equivalent doses calculation and selection
calSARED.default SAR equivalent doses calculation and selection
calSGCED SGC Equivalent dose calculation and selection
calSGCED.default SGC Equivalent dose calculation and selection
dbED De distribution summarization
dbED.default De distribution summarization
decomp OSL decay curve decomposition
decomp.default OSL decay curve decomposition
EDdata Equivalent dose values
fastED Fast-component equivalent dose calculation
fastED.default Fast-component equivalent dose calculation
fitGrowth Growth curve fitting
fitGrowth.default Growth curve fitting
loadBINdata BIN file loading (importing)
loadBINdata.default BIN file loading (importing)
lsNORM Regenerative-dose signal optimization using the LS-normalisation procedure
lsNORM.default Regenerative-dose signal optimization using the LS-normalisation procedure
mcCAM Finite mixture age model optimization (using a Markov chain Monte Carlo method)
mcFMM Finite mixture age model optimization (using a Markov chain Monte Carlo method)
mcFMM.default Finite mixture age model optimization (using a Markov chain Monte Carlo method)
mcMAM Optimization of the minimum (maximum) age model (using a Markov chain Monte Carlo method)
mcMAM.default Optimization of the minimum (maximum) age model (using a Markov chain Monte Carlo method)
optimSAM Optimization of statistical age models
optimSAM.default Optimization of statistical age models
pickBINdata BIN data set selection
pickBINdata.default BIN data set selection
pickSARdata SAR data set selection
pickSARdata.default SAR data set selection
psRadialPlot Pseudo radial plot drawing
psRadialPlot.default Pseudo radial plot drawing
RadialPlotter Statistical age model optimization (with a Maximum Likelihood Estimation method)
RadialPlotter.default Statistical age model optimization (with a Maximum Likelihood Estimation method)
reportMC Reporting MCMC outputs for statistical age models
reportMC.default Reporting MCMC outputs for statistical age models
SARdata Data sets used for SAR equivalent dose calculation
scaleSGCN Natural-dose signal re-scaling
scaleSGCN.default Natural-dose signal re-scaling
sensSAM Investigate of the sensitivity of a statistical age model to the additional uncertainty (sigmab)
sensSAM.default Investigate of the sensitivity of a statistical age model to the additional uncertainty (sigmab)
Signaldata Decay curves datasets