Package: OceanTracer 1.0.2

OceanTracer: Marine Source Unmixing Toolkit

Reconstructs the provenance of particulate matter and marine sediments by 'unmixing' isotopic and elemental signatures. Provides a specialized toolkit for marine biogeochemistry, coastal tracing, and oceanographic sediment transport following the step-by-step procedure described in Cepeda 'et' 'al.' (2026) <doi:10.1002/lom3.70083>, which is tested using artificial mixtures.

Authors:Esther Cepeda [aut, cre], Maarten Wynants [aut], Ivan Lizaga [aut, ths, ldr], Samuel Bodé [ctb], Pascal Boeckx [ctb], Jan Vanaverbeke [ctb], Ulrike Braeckman [ctb], Margarita Villalonga [ctb], Aiming Liang [ctb], Borja Latorre [ctb], Leticia Gaspar [ctb], Ana Navas [ctb], Vince Q Vu [ctb]

OceanTracer_1.0.2.tar.gz
OceanTracer_1.0.2.zip(r-4.7-any)OceanTracer_1.0.2.zip(r-4.6-any)OceanTracer_1.0.2.zip(r-4.5-any)
OceanTracer_1.0.2.tgz(r-4.6-any)OceanTracer_1.0.2.tgz(r-4.5-any)
OceanTracer_1.0.2.tar.gz(r-4.7-any)OceanTracer_1.0.2.tar.gz(r-4.6-any)
OceanTracer_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OceanTracer/json (API)

# Install 'OceanTracer' in R:
install.packages('OceanTracer', repos = c('https://esthercepeda.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

jagscpp

1.00 score 60 exports 143 dependencies

Last updated from:93bcaaded1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK169
source / vignettesOK225
linux-releaseOK168
macos-releaseOK190
macos-oldrelOK196
windows-develOK116
windows-releaseOK139
windows-oldrelOK112
wasm-releaseOK149

Exports:aa_baseline_correctionbox_plotboxPlotcb_methodCB_MethodCI_Methodcluster_solutionsConservative_Balanceconsistency_errorCorrelation_Chartcorrelation_plotcorrelationPlotCRCR_Methodcr_nsCTS_2_sourcesCTS_3_sourcesCTS_4_sourcesCTS_5_sourcescts_errorCTS_errorCTS_n_sourcesCTS_seedsCTS_seeds_pairsCTS_seeds_quartetsCTS_seeds_singlesCTS_seeds_tripletsDFATestfrequentist_unconstrainedfrequentist_unconstrained_lvpggbiplotGraph_boxplotsinputMixtureinputSampleinputSourceKWTestLDA_ChartLDA_plotLDAPlotpairsPCA_plotPCAPlotplot_apportionmentplot_pcaplot_resultsplotResultsprefilter_tracersquartetsrangeTestsinglesternary_diagramTernary_diagramTernary_Plottracer_pull_analysistracer_selection_diagnostic_plottriangles_datasettriangles_virtualtripletsunmix_mixsiarunmixing

Dependencies:abindaskpassbackportsbase64encbayesplotbitbit64bootbslibcachemcheckmateclassclassIntclicliprclueclustercodacombinatcommonmarkcpp11crayoncrosstalkcurldata.tabledigestdistributionaldplyre1071evaluatefarverfastmapfontawesomeforcatsfsgenericsGGallyggarrowggbiplotggdistggmcmcggplot2ggridgesggstatsgluegridExtragtablehavenhighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteKernSmoothklaRknitrlabelinglabelledlaterlatticelazyevallifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmemoisemimeminiUIMixSIARnumDerivopensslotelpatchworkpillarpkgconfigplotlyPlotToolsplyrpolyclipposteriorprettyunitsprogresspromisesproxypurrrquadprogquantregquestionrR.cacheR.methodsS3R.ooR.utilsR2jagsR2WinBUGSR6rappdirsRColorBrewerRcppreadrreshapereshape2rjagsrlangrmarkdownrprojrootrstudioapiS7sassscalesshinysourcetoolsspSparseMsplancsstringistringrstylersurvivalsystensorATernarytibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Amino Acid Isotopic Baseline Correctionaa_baseline_correction
Artificial Dataset for OceanTracer Workflowsartificial_dataset
Conservativeness Index (CI) for individual tracer evaluationCI_Method
Cluster CTS solutions by source contribution similaritycluster_solutions
Conservative Balance (CB) transformation for isotopic tracersCB_Method cb_method Conservative_Balance
Consistency error of a tracer selection for an apportionment solutionconsistency_error CTS_error cts_error
Correlation matrix chartcorrelationPlot Correlation_Chart correlation_plot
Consensus Ranking (CR) method for tracer selectionCR CR_Method cr_ns
CTS Engine for 2 SourcesCTS_2_sources CTS_seeds_singles singles
CTS Engine for 3 SourcesCTS_3_sources CTS_seeds_pairs pairs
CTS Engine for 4 SourcesCTS_4_sources CTS_seeds_triplets triplets
CTS Engine for 5 SourcesCTS_5_sources CTS_seeds_quartets quartets
Consistent Tracer Selection (CTS) for multiple sourcesCTS_n_sources CTS_seeds
Discriminant Function Analysis for tracer pre-selectionDFATest
Source apportionment via unconstrained least-squares with classical variability propagationfrequentist_unconstrained
Source apportionment via unconstrained least-squares with linear variability propagation (LVP)frequentist_unconstrained_lvp
Biplot for Principal Components using ggplot2ggbiplot
Box and Whiskers Plot for TracersboxPlot box_plot Graph_boxplots
Extract mixture samples from a fingerprinting datasetinputMixture inputSample
Input Sediment SourcesinputSource
Kruskal-Wallis test for tracer pre-selectionKWTest
Linear Discriminant Analysis ChartLDAPlot LDA_Chart LDA_plot
Plot Apportionment ResultsplotResults plot_apportionment plot_results
Principal Component Analysis biplotPCAPlot PCA_plot plot_pca
Prefilter tracers and clean raw or summary source datasetsprefilter_tracers
Range test for tracer pre-selectionrangeTest
Ternary diagrams with the CI_Method function resultsTernary_diagram ternary_diagram Ternary_Plot
Analyze the Marginal Effect (Pull) of Individual Tracerstracer_pull_analysis
Tracer Selection Diagnostic plottracer_selection_diagnostic_plot
Conservative Index evaluation using randomly sampled companion tracerstriangles_dataset
Conservative Index evaluation using virtually generated companion tracerstriangles_virtual
Bayesian Source Apportionment using MixSIARunmix_mixsiar
Unmix sediment or marine particle mixturesunmixing