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numOSL (version 2.8)
Numeric Routines for Optically Stimulated Luminescence Dating
Description
Optimizing regular numeric problems in optically stimulated luminescence dating, such as: equivalent dose calculation, dose rate determination, growth curve fitting, decay curve decomposition, statistical age model optimization, and statistical plot visualization.
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Install
install.packages('numOSL')
Monthly Downloads
294
Version
2.8
License
GPL-3
Maintainer
Jun Peng
Last Published
December 6th, 2023
Functions in numOSL (2.8)
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fastED
Fast-component equivalent dose calculation
dbED
De distribution summarization
fitGrowth
Growth curve fitting
loadBINdata
BIN file loading (importing)
calSGCED
SGC Equivalent dose calculation and selection
mcFMM
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)
lsNORM
Regenerative-dose signal optimization using the LS-normalisation procedure
calSARED
SAR equivalent doses calculation and selection
decomp
OSL decay curve decomposition
pickBINdata
BIN data set selection
sensSAM
Investigate of the sensitivity of a statistical age model to the additional uncertainty (sigmab)
numOSL-package
Package for tackling basic numeric problems in optically stimulated luminescence dating
scaleSGCN
Natural-dose signal re-scaling
psRadialPlot
Pseudo radial plot drawing
optimSAM
Optimization of statistical age models
reportMC
Reporting MCMC outputs for statistical age models
pickSARdata
SAR data set selection
BIN
BIN data
calRcyRcp
Recycling ratio and recuperation calculation
EDdata
Equivalent dose values
calED
Equivalent dose calculation and error assessment
analyseBINdata
BIN data analysis
RadialPlotter
Statistical age model optimization (with a Maximum Likelihood Estimation method)
Signaldata
Decay curves datasets
as_analyseBIN
Transfom SAR data sets into S3 class object "analyseBIN"
calDA
Dose rate and age calculation
SARdata
Data sets used for SAR equivalent dose calculation
