Package: OSLdecomposition 1.0.2
OSLdecomposition: Signal Component Analysis for Optically Stimulated Luminescence
Function library for the identification and separation of exponentially decaying signal components in continuous-wave optically stimulated luminescence measurements. A special emphasis is laid on luminescence dating with quartz, which is known for systematic errors due to signal components with unequal physical behaviour. Also, this package enables an easy to use signal decomposition of data sets imported and analysed with the R package 'Luminescence'. This includes the optional automatic creation of HTML reports. Further information and tutorials can be found at <https://luminescence.de>.
Authors:
OSLdecomposition_1.0.2.tar.gz
OSLdecomposition_1.0.2.zip(r-4.5)OSLdecomposition_1.0.2.zip(r-4.4)OSLdecomposition_1.0.2.zip(r-4.3)
OSLdecomposition_1.0.2.tgz(r-4.4-any)OSLdecomposition_1.0.2.tgz(r-4.3-any)
OSLdecomposition_1.0.2.tar.gz(r-4.5-noble)OSLdecomposition_1.0.2.tar.gz(r-4.4-noble)
OSLdecomposition_1.0.2.tgz(r-4.4-emscripten)OSLdecomposition_1.0.2.tgz(r-4.3-emscripten)
OSLdecomposition.pdf |OSLdecomposition.html✨
OSLdecomposition/json (API)
NEWS
# Install 'OSLdecomposition' in R: |
install.packages('OSLdecomposition', repos = c('https://dirkmittelstrass.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dirkmittelstrass/osldecomposition/issues
Last updated 4 months agofrom:5d1da87c72. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | OK | Nov 09 2024 |
R-4.5-linux | OK | Nov 09 2024 |
R-4.4-win | OK | Nov 09 2024 |
R-4.4-mac | OK | Nov 09 2024 |
R-4.3-win | OK | Nov 09 2024 |
R-4.3-mac | OK | Nov 09 2024 |
Exports:decompose_OSLcurvefit_OSLcurveoptimise_OSLintervalsplot_OSLcurveplot_PhotoCrosssectionsRLum.OSL_correctionRLum.OSL_decompositionRLum.OSL_global_fittingsimulate_OSLcomponentssum_OSLcurves
Dependencies:abindaskpassbackportsbase64encbbmlebdsmatrixbootbroombslibcachemcarcarDatacellrangerclicolorspacecorrplotcowplotcpp11crayoncurldata.tabledeldirDEoptimDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhmshtmltoolshttrinterpisobandjquerylibjsonliteknitrlabelinglamWlatticelifecyclelme4LuminescencemagrittrMASSMatrixMatrixModelsmatrixStatsmclustmemoisemgcvmicrobenchmarkmimeminpack.lmminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpolynomprettyunitsprogresspurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreadxlrematchrlangrmarkdownrstatixsassscalesshapeSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Signal Component Analysis for Optically Stimulated Luminescence | OSLdecomposition-package OSLdecomposition |
Multi-exponential CW-OSL decomposition | decompose_OSLcurve |
Multi-exponential CW-OSL curve fitting | fit_OSLcurve |
Find adequate integration intervals for CW-OSL decomposition | optimise_OSLintervals |
Advanced plot function for component resolved CW-OSL curves | plot_OSLcurve |
Plot comparison of CW-OSL component photoionisation cross sections of different models | plot_PhotoCrosssections |
Check and correct CW-OSL curves in RLum.Analysis data sets | RLum.OSL_correction |
Separate CW-OSL components in RLum.Analysis data sets | RLum.OSL_decomposition |
Identify CW-OSL signal components in RLum.Analysis data sets | RLum.OSL_global_fitting |
Simulates signal component decay curves and whole CW-OSL curves | simulate_OSLcomponents |
Combine RLum OSL records to one global average curve | sum_OSLcurves |