Package: numOSL 2.8

Jun Peng

numOSL: Numeric Routines for Optically Stimulated Luminescence Dating

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.

Authors:Jun Peng [aut, cre], Bo Li [aut], Chunxin Wang [aut], Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Paul Gilbert [ctb], Ravi Varadhan [ctb]

numOSL_2.8.tar.gz
numOSL_2.8.tar.gz(r-4.7-arm64)numOSL_2.8.tar.gz(r-4.7-x86_64)numOSL_2.8.tar.gz(r-4.6-arm64)numOSL_2.8.tar.gz(r-4.6-x86_64)
numOSL_2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
numOSL/json (API)

# Install 'numOSL' in R:
install.packages('numOSL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • BIN - BIN data
  • EDdata - Equivalent dose values
  • SARdata - Data sets used for SAR equivalent dose calculation
  • Signaldata - Decay curves datasets

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

1.66 score 23 scripts 240 downloads 2 mentions 26 exports 0 dependencies

Last updated from:edb476d57e. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK159
linux-devel-x86_64OK117
source / vignettesOK154
linux-release-arm64OK172
linux-release-x86_64OK121
wasm-releaseOK96

Exports:analyseBINdataanalyseBINdata0as_analyseBINcalDAcalDAbatchcalEDcalRcyRcpcalSAREDcalSGCEDdbEDdecompfastEDfitGrowthloadBINdatalsNORMmcCAMmcFMMmcMAMoptimSAMpickBINdatapickSARdatapsRadialPlotRadialPlotterreportMCscaleSGCNsensSAM

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Package for tackling basic numeric problems in optically stimulated luminescence datingnumOSL-package
BIN data analysisanalyseBINdata analyseBINdata.default analyseBINdata0 analyseBINdata0.default
Transfom SAR data sets into S3 class object "analyseBIN"as_analyseBIN as_analyseBIN.default
BIN dataBIN
Dose rate and age calculationcalDA calDA.default calDAbatch calDAbatch.default
Equivalent dose calculation and error assessmentcalED calED.default
Recycling ratio and recuperation calculationcalRcyRcp calRcyRcp.default
SAR equivalent doses calculation and selectioncalSARED calSARED.default
SGC Equivalent dose calculation and selectioncalSGCED calSGCED.default
De distribution summarizationdbED dbED.default
OSL decay curve decompositiondecomp decomp.default
Equivalent dose valuesEDdata
Fast-component equivalent dose calculationfastED fastED.default
Growth curve fittingfitGrowth fitGrowth.default
BIN file loading (importing)loadBINdata loadBINdata.default
Regenerative-dose signal optimization using the LS-normalisation procedurelsNORM lsNORM.default
Finite mixture age model optimization (using a Markov chain Monte Carlo method)mcCAM mcFMM mcFMM.default
Optimization of the minimum (maximum) age model (using a Markov chain Monte Carlo method)mcMAM mcMAM.default
Optimization of statistical age modelsoptimSAM optimSAM.default
BIN data set selectionpickBINdata pickBINdata.default
SAR data set selectionpickSARdata pickSARdata.default
Pseudo radial plot drawingpsRadialPlot psRadialPlot.default
Statistical age model optimization (with a Maximum Likelihood Estimation method)RadialPlotter RadialPlotter.default
Reporting MCMC outputs for statistical age modelsreportMC reportMC.default
Data sets used for SAR equivalent dose calculationSARdata
Natural-dose signal re-scalingscaleSGCN scaleSGCN.default
Investigate of the sensitivity of a statistical age model to the additional uncertainty (sigmab)sensSAM sensSAM.default
Decay curves datasetsSignaldata