R: Numeric Routines for Optically Stimulated Luminescence Dating

# Numeric Routines for Optically Stimulated Luminescence Dating

## Documentation for package ‘numOSL’ version 2.8

- DESCRIPTION file

## Help Pages

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