{ "_id": "6af5bc37f58eaab79920bc0f", "Package": "FluvialTracer", "Type": "Package", "Title": "A Comprehensive Package for Sediment Source Unmixing", "Version": "1.0.0", "Date": "2026-10-26", "Authors@R": "c(\nperson(\"Margarita\", \"Villalonga\", role = c(\"aut\", \"cre\"), email = \"mvillalonga@ipe.csic.es\"),\nperson(\"Esther\", \"Cepeda\", role = \"aut\"),\nperson(\"Maarten\", \"Wynants\", role = \"aut\"),\nperson(\"Ivan\", \"Lizaga\", role = c(\"aut\", \"ths\", \"ldr\")),\nperson(\"Samuel\", \"Bodé\", role = \"ctb\"),\nperson(\"Pascal\", \"Boeckx\", role = \"ctb\"),\nperson(\"William\", \"Blake\", role = \"ctb\"),\nperson(\"Jan\", \"Vanaverbeke\", role = \"ctb\"),\nperson(\"Ulrike\", \"Braeckman\", role = \"ctb\"),\nperson(\"Aiming\", \"Lian\", role = \"ctb\"),\nperson(\"Borja\", \"Latorre\", role = \"ctb\"),\nperson(\"Yuri\", \"Jacques Agra Bezerra da Silva\", role = \"ctb\"),\nperson(\"Leticia\", \"Gaspar\", role = \"ctb\"),\nperson(\"Jorge\", \"Crespo\", role = \"ctb\"),\nperson(\"Ana\", \"Navas\", role = \"ctb\"),\nperson(\"Maziar\", \"Mohammadi\", role = \"ctb\"),\nperson(\"Vince Q\", \"Vu\", role = \"ctb\")\n)", "Description": "Source apportionment toolkit for fluvial catchments and\nriver sediment provenance. It estimates how much each source\ncontributes to a sediment mixture, using frequentist, Bayesian,\nand machine-learning models on the same dataset. The software\nincludes tools to check which tracer is causing an unrealistic\nresult, plus built-in validation against artificial mixtures\nwith known, true source proportions.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "Config/roxygen2/version": "8.1.1", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-11-12 13:11:21 UTC", "User": "root" }, "Author": "Margarita Villalonga [aut, cre], Esther Cepeda [aut], Maarten\nWynants [aut], Ivan Lizaga [aut, ths, ldr], Samuel Bodé [ctb],\nPascal Boeckx [ctb], William Blake [ctb], Jan Vanaverbeke\n[ctb], Ulrike Braeckman [ctb], Aiming Lian [ctb], Borja Latorre\n[ctb], Yuri Jacques Agra Bezerra da Silva [ctb], Leticia Gaspar\n[ctb], Jorge Crespo [ctb], Ana Navas [ctb], Maziar Mohammadi\n[ctb], Vince Q Vu [ctb]", "Maintainer": "Margarita Villalonga ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-11-12 12:57:20 UTC", "RemoteUrl": "https://github.com/cran/FluvialTracer", "RemoteRef": "HEAD", "RemoteSha": "fa7871ade8e1523a82b8310e23d71fd965672403", "_user": "cran", "_type": "src", "_file": "FluvialTracer_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/c37793c64512f926964464236a7f22dff42f02f2f88d606c6cc84fb40475364f", "_filesize": 289938, "_sha256": "c37793c64512f926964464236a7f22dff42f02f2f88d606c6cc84fb40475364f", "_expires": "2027-02-20T13:16:37.000Z", "_created": "2026-11-12T13:11:21.000Z", "_published": "2026-11-12T13:16:39.582Z", "_upstream": "https://github.com/cran/FluvialTracer", "_status": "success", "_maintainer": { "name": "Margarita Villalonga", "email": "mvillalonga@ipe.csic.es" }, "_jobs": [ { "job": 131205692125, "time": 185, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13947701404" }, { "job": 131205692221, "time": 179, "config": "linux-release-x86_64", "r": "4.6.2", "check": "OK", "artifact": "13947497210" }, { "job": 131203662451, "time": 223, "config": "source", "r": "4.6.2", "check": "OK", "artifact": "13947690950" }, { "job": 131205692164, "time": 152, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "13948246192" }, { "job": 131205692456, "time": 256, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13946673635" }, { "job": 131205692152, "time": 270, "config": "windows-release-x86_64", "r": "4.6.2", "check": "OK", "artifact": "13948221608" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/43224310278", "_commit": { "id": "fa7871ade8e1523a82b8310e23d71fd965672403", "author": "Margarita Villalonga ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1794488240 }, "_distro": "resolute", "_host": "GitHub-Actions", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "car", "role": "Imports" }, { "package": "cluster", "role": "Imports" }, { "package": "crayon", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "GGally", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "ggtext", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "gridExtra", "role": "Imports" }, { "package": "klaR", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "MixSIAR", "role": "Imports" }, { "package": "plotly", "role": "Imports" }, { "package": "plyr", "role": "Imports" }, { "package": "randomForest", "role": "Imports" }, { "package": "reshape2", "role": "Imports" }, { "package": "rjags", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "Ternary", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "tidyselect", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "xgboost", "role": "Imports" }, { "package": "patchwork", "role": "Suggests" }, { "package": "rgl", "role": "Suggests" }, { "package": "stringr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-46", "n": 1 } ], "_tags": [ { "name": "1.0.0", "date": "2026-11-12" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 637, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/FluvialTracer" }, "_searchresults": 0, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.2", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/FluvialTracer.html", "extra/manual.pdf" ], "_cranurl": false, "_exports": [ "box_plot", "boxPlot", "cb_method", "CB_Method", "checking_diff_mult_mix", "checking_diff_single_mix", "CI_Method", "cluster_solutions", "Conservative_Balance", "consistency_error", "Correlation_Chart", "correlation_plot", "correlationPlot", "CR", "CR_Method", "cr_ns", "CTS_2_sources", "CTS_3_sources", "CTS_4_sources", "CTS_5_sources", "cts_error", "CTS_error", "CTS_n_sources", "CTS_seeds", "CTS_seeds_pairs", "CTS_seeds_quartets", "CTS_seeds_singles", "CTS_seeds_triplets", "DFATest", "frequentist_unconstrained", "frequentist_unconstrained_lvp", "ggbiplot", "Graph_boxplots", "inputMixture", "inputSample", "inputSource", "KWTest", "LDA_Chart", "LDA_plot", "LDAPlot", "pairs", "PCA_plot", "PCAPlot", "plot_apportionment", "plot_pca", "plot_results", "plotResults", "quartets", "rangeTest", "singles", "ternary_diagram", "Ternary_diagram", "Ternary_Plot", "tracer_pull_analysis", "triangles_dataset", "triangles_virtual", "triplets", "unmix_mixsiar", "unmix_rf", "unmix_xgboost", "unmixing" ], "_datasets": [ { "name": "fluvial_palette", "title": "Default color palette for FluvialTracer plots", "object": "fluvial_palette", "class": [ "character" ], "fields": [], "table": false, "tojson": true }, { "name": "fluvialdata_example", "title": "Example dataset with 3 sources and one mixture", "object": "fluvialdata_example", "class": [ "data.frame" ], "fields": [ "ID", "LU", "Al.167.079", "P.177.495", "As.189.042", "Tl.190.856", "Mo.202.030", "Zn.213.856", "Sb.217.581", "Pb.220.353", "Bi.223.061", "Ir.224.268", "Cd.228.802", "Ni.231.604", "Co.238.892", "B.249.773", "Mn.257.610", "Fe.259.940", "Mg.279.553", "Cr.283.563", "V.309.311", "Nb.309.418", "Be.313.042", "Cu.324.754", "In.325.609", "Ag.328.068", "Ti.334.941", "U.367.007", "Ca.393.366", "Sr.407.771", "Ba.455.403", "Cs.460.379", "Na.588.995", "Li.670.784", "K.766.490", "Rb.780.023" ], "rows": 16, "table": true, "tojson": true } ], "_help": [ { "page": "checking_diff_mult_mix", "title": "Checking the difference between virtual and artificial mixture (for data sets containing multiple mixtures)", "topics": [ "checking_diff_mult_mix" ] }, { "page": "checking_diff_single_mix", "title": "Checking the difference between virtual and artificial mixture (for data sets containing only one mixture)", "topics": [ "checking_diff_single_mix" ] }, { "page": "CI_Method", "title": "Conservativeness Index (CI) for individual tracer evaluation", "topics": [ "CI_Method" ] }, { "page": "cluster_solutions", "title": "Cluster CTS solutions by source contribution similarity", "topics": [ "cluster_solutions" ] }, { "page": "Conservative_Balance", "title": "Conservative Balance (CB) transformation for isotopic tracers", "topics": [ "CB_Method", "cb_method", "Conservative_Balance" ] }, { "page": "consistency_error", "title": "Consistency error of a tracer selection for an apportionment solution", "topics": [ "consistency_error", "CTS_error", "cts_error" ] }, { "page": "Correlation_Chart", "title": "Correlation matrix chart", "topics": [ "correlationPlot", "Correlation_Chart", "correlation_plot" ] }, { "page": "CR_Method", "title": "Consensus Ranking (CR) method for tracer selection", "topics": [ "CR", "CR_Method", "cr_ns" ] }, { "page": "CTS_2_sources", "title": "CTS engine for 2 sources", "topics": [ "CTS_2_sources", "CTS_seeds_singles", "singles" ] }, { "page": "CTS_3_sources", "title": "CTS engine for 3 sources", "topics": [ "CTS_3_sources", "CTS_seeds_pairs", "pairs" ] }, { "page": "CTS_4_sources", "title": "CTS engine for 4 sources", "topics": [ "CTS_4_sources", "CTS_seeds_triplets", "triplets" ] }, { "page": "CTS_5_sources", "title": "CTS engine for 5 sources", "topics": [ "CTS_5_sources", "CTS_seeds_quartets", "quartets" ] }, { "page": "CTS_n_sources", "title": "Consistent Tracer Selection (CTS) for multiple sources", "topics": [ "CTS_n_sources", "CTS_seeds" ] }, { "page": "DFATest", "title": "Discriminant Function Analysis for tracer pre-selection", "topics": [ "DFATest" ] }, { "page": "fluvial_palette", "title": "Default color palette for FluvialTracer plots", "topics": [ "fluvial_palette" ] }, { "page": "fluvialdata_example", "title": "Example dataset with 3 sources and one mixture", "topics": [ "fluvialdata_example" ] }, { "page": "frequentist_unconstrained", "title": "Source apportionment via unconstrained least-squares with classical variability propagation", "topics": [ "frequentist_unconstrained" ] }, { "page": "frequentist_unconstrained_lvp", "title": "Source apportionment via unconstrained least-squares with linear variability propagation (LVP)", "topics": [ "frequentist_unconstrained_lvp" ] }, { "page": "ggbiplot", "title": "Biplot for Principal Components using ggplot2", "topics": [ "ggbiplot" ] }, { "page": "Graph_boxplots", "title": "Box and whiskers plot", "topics": [ "boxPlot", "box_plot", "Graph_boxplots" ] }, { "page": "inputSample", "title": "Extract mixture samples from a fingerprinting dataset", "topics": [ "inputMixture", "inputSample" ] }, { "page": "inputSource", "title": "Input sediment sources", "topics": [ "inputSource" ] }, { "page": "KWTest", "title": "Kruskal-Wallis test for tracer pre-selection", "topics": [ "KWTest" ] }, { "page": "LDA_Chart", "title": "Linear discriminant analysis chart", "topics": [ "LDAPlot", "LDA_Chart", "LDA_plot" ] }, { "page": "plot_apportionment", "title": "Plot apportionment results", "topics": [ "plotResults", "plot_apportionment", "plot_results" ] }, { "page": "plot_pca", "title": "Principal Component Analysis biplot", "topics": [ "PCAPlot", "PCA_plot", "plot_pca" ] }, { "page": "rangeTest", "title": "Range test for tracer pre-selection", "topics": [ "rangeTest" ] }, { "page": "Ternary_Plot", "title": "Ternary diagrams with the CI_Method function results", "topics": [ "Ternary_diagram", "ternary_diagram", "Ternary_Plot" ] }, { "page": "tracer_pull_analysis", "title": "Analyze the Marginal Effect (Pull) of Individual Tracers", "topics": [ "tracer_pull_analysis" ] }, { "page": "triangles_dataset", "title": "Conservative Index evaluation using randomly sampled companion tracers", "topics": [ "triangles_dataset" ] }, { "page": "triangles_virtual", "title": "Conservative Index evaluation using virtually generated companion tracers", "topics": [ "triangles_virtual" ] }, { "page": "unmix_mixsiar", "title": "Bayesian source apportionment using MixSIAR", "topics": [ "unmix_mixsiar" ] }, { "page": "unmix_rf", "title": "Machine Learning source apportionment using Random Forest (with expanded bounds)", "topics": [ "unmix_rf" ] }, { "page": "unmix_xgboost", "title": "Machine Learning source apportionment using XGBoost (Gradient Boosting)", "topics": [ "unmix_xgboost" ] }, { "page": "unmixing", "title": "Unmix sediment or marine particle mixtures", "topics": [ "unmixing" ] } ], "_rundeps": [ "abind", "askpass", "backports", "base64enc", "bayesplot", "bit", "bit64", "boot", "broom", "bslib", "cachem", "car", "carData", "checkmate", "class", "classInt", "cli", "clipr", "clue", "cluster", "coda", "colorspace", "combinat", "commonmark", "cowplot", "cpp11", "crayon", "crosstalk", "curl", "data.table", "Deriv", "digest", "distributional", "doBy", "dplyr", "e1071", "evaluate", "farver", "fastmap", "fontawesome", "forcats", "forecast", "Formula", "fracdiff", "fs", "generics", "GGally", "ggdist", "ggmcmc", "ggplot2", "ggridges", "ggstats", "ggtext", "glue", "gridExtra", "gridtext", "gtable", "haven", "highr", "hms", "htmltools", "htmlwidgets", "httpuv", "httr", "isoband", "jpeg", "jquerylib", "jsonlite", "KernSmooth", "klaR", "knitr", "labeling", "labelled", "later", "lattice", "lazyeval", "lifecycle", "litedown", "lme4", "lmtest", "loo", "magrittr", "markdown", "MASS", "Matrix", "MatrixModels", "matrixStats", "mcmc", "MCMCpack", "memoise", "mgcv", "mime", "miniUI", "minqa", "MixSIAR", "modelr", "nlme", "nloptr", "nnet", "numDeriv", "openssl", "otel", "patchwork", "pbkrtest", "pillar", "pkgconfig", "plotly", "PlotTools", "plyr", "png", "posterior", "prettyunits", "progress", "promises", "proxy", "purrr", "quadprog", "quantreg", "questionr", "R.cache", "R.methodsS3", "R.oo", "R.utils", "R2jags", "R2WinBUGS", "R6", "randomForest", "rappdirs", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "readr", "reformulas", "reshape", "reshape2", "rjags", "rlang", "rmarkdown", "rprojroot", "rstudioapi", "S7", "sass", "scales", "shiny", "sourcetools", "sp", "SparseM", "splancs", "stringi", "stringr", "styler", "survival", "sys", "tensorA", "Ternary", "tibble", "tidyr", "tidyselect", "timeDate", "tinytex", "tzdb", "urca", "utf8", "vctrs", "viridisLite", "vroom", "withr", "xfun", "xgboost", "xml2", "xtable", "yaml", "zoo" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2604.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_score": 1, "_indexed": true, "_nocasepkg": "fluvialtracer", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0", "date": "2026-11-12T13:14:02.000Z", "distro": "resolute", "commit": "fa7871ade8e1523a82b8310e23d71fd965672403", "fileid": "https://r2.ropensci.org/731f13f24396daa824e1d2c51a0cdc354ea935a727e0098ee153294c721e72e1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/43224310278" }, { "r": "4.6.2", "os": "linux", "version": "1.0.0", "date": "2026-11-12T13:14:00.000Z", "distro": "resolute", "commit": "fa7871ade8e1523a82b8310e23d71fd965672403", "fileid": "https://r2.ropensci.org/6ae236d27c8f4a2ed3c54f1255aa13fbfb270e99e1703811e0cf3b0f1f626427", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/43224310278" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0", "date": "2026-11-12T13:14:14.000Z", "commit": "fa7871ade8e1523a82b8310e23d71fd965672403", "fileid": "https://r2.ropensci.org/085f3eb15df90f991cad0fafe6f9909e7a1c5a8bf02d8f676413d64d289ed410", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/43224310278" }, { "r": "4.7.0", "os": "win", "version": "1.0.0", "date": "2026-11-12T13:14:14.000Z", "commit": "fa7871ade8e1523a82b8310e23d71fd965672403", "fileid": "https://r2.ropensci.org/eeeef721dfad875bf8c5ee658b723d1f4e9db6edb089859e5ccc9315f212b4ae", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/43224310278" }, { "r": "4.6.2", "os": "win", "version": "1.0.0", "date": "2026-11-12T13:14:24.000Z", "commit": "fa7871ade8e1523a82b8310e23d71fd965672403", "fileid": "https://r2.ropensci.org/9d58711df0d752bc8fe719b2a0fdf1ca9eb9976a7a07e09e467f118a2dda3980", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/43224310278" } ] }