{ "_id": "6a1be76a1d7bb097a0a1b26a", "Package": "PoolDilutionR", "Type": "Package", "Title": "Calculate Gross Biogeochemical Flux Rates from Isotope Pool\nDilution Data", "Version": "1.0.0", "Authors@R": "c(person(\"Kendalynn A.\", \"Morris\", \nemail = \"kendalynn.morris@gmail.com\",\nrole = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0002-0388-6965\")),\nperson(\"Ben\", \"Bond-Lamberty\",\nemail = \"bondlamberty@pnnl.gov\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0001-9525-4633\")))", "Description": "Pool dilution is a isotope tracer technique wherein a\nbiogeochemical pool is artifically enriched with its heavy\nisotopologue and the gross productive and consumptive fluxes of\nthat pool are quantified by the change in pool size and\nisotopic composition over time. This package calculates gross\nproduction and consumption rates from closed-system isotopic\npool dilution time series data. Pool size concentrations and\nheavy isotope (e.g., 15N) content are measured over time and\nthe model optimizes production rate (P) and the first order\nrate constant (k) by minimizing error in the model-predicted\ntotal pool size, as well as the isotopic signature. The model\noptimizes rates by weighting information against the\nsignal:noise ratio of concentration and heavy- isotope\nsignatures using measurement precision as well as the magnitude\nof change over time. The calculations used here are based on\nvon Fischer and Hedin (2002) with\nsome modifications.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-31 07:44:05 UTC", "User": "root" }, "Author": "Kendalynn A. Morris [cre, aut]\n(), Ben Bond-Lamberty\n[ctb] ()", "Maintainer": "Kendalynn A. Morris ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-02-15 11:20:06 UTC", "RemoteUrl": "https://github.com/cran/PoolDilutionR", "RemoteRef": "HEAD", "RemoteSha": "f1ee0d5f35f843f22b50eb612174f81c5a177d82", "MD5sum": "ec847f00a8aa4afcc880b408110a6106", "_user": "cran", "_type": "src", "_file": "PoolDilutionR_1.0.0.tar.gz", "_fileid": "c7c83a19665f24d5c8b8022cd09a0e5a7d06525d1f1ff1aeeeae1489cce21535", "_filesize": 712390, "_sha256": "c7c83a19665f24d5c8b8022cd09a0e5a7d06525d1f1ff1aeeeae1489cce21535", "_created": "2026-05-31T07:44:05.000Z", "_published": "2026-05-31T07:46:50.091Z", "_distro": "noble", "_jobs": [ { "job": 78709602823, "time": 132, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7314941624" }, { "job": 78709602825, "time": 127, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7314941185" }, { "job": 78709446118, "time": 182, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7314927253" }, { "job": 78709602814, "time": 96, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7314937803" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26706773037", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/PoolDilutionR", "_commit": { "id": "f1ee0d5f35f843f22b50eb612174f81c5a177d82", "author": "Kendalynn A. Morris ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1676460006 }, "_maintainer": { "name": "Kendalynn A. Morris", "email": "kendalynn.morris@gmail.com", "orcid": "0000-0002-0388-6965" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "tibble", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 150, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PoolDilutionR" }, "_searchresults": 8, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/PoolDilutionR.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2023-02-15" } ], "_exports": [ "frac_k_default", "frac_P_default", "pdr_cost", "pdr_estimate_k0", "pdr_optimize", "pdr_optimize_df", "pdr_predict" ], "_datasets": [ { "name": "Morris2023", "title": "Example time series data from a methane dilution pool experiment.", "object": "Morris2023", "class": [ "data.frame" ], "fields": [ "id", "time_days", "cal12CH4ml", "cal13CH4ml", "AP_obs" ], "rows": 30, "table": true, "tojson": true }, { "name": "pdr_fractionation", "title": "P and k fractionation values", "object": "pdr_fractionation", "class": [ "data.frame" ], "fields": [ "Pool", "frac_P", "frac_k", "Default", "Source" ], "rows": 1, "table": true, "tojson": true } ], "_help": [ { "page": "frac_k_default", "title": "Retrieve default k fractionation value for a pool", "topics": [ "frac_k_default" ] }, { "page": "frac_P_default", "title": "Retrieve default P fractionation value for a pool", "topics": [ "frac_P_default" ] }, { "page": "Morris2023", "title": "Example time series data from a methane dilution pool experiment.", "topics": [ "Morris2023" ] }, { "page": "pdr_cost", "title": "Cost function between observed and predicted pools", "topics": [ "pdr_cost" ] }, { "page": "pdr_estimate_k0", "title": "Estimate initial k from heavy isotope concentration data", "topics": [ "pdr_estimate_k0" ] }, { "page": "pdr_fractionation", "title": "P and k fractionation values", "topics": [ "pdr_fractionation" ] }, { "page": "pdr_optimize", "title": "Optimize production and consumption parameters for pool dilution data", "topics": [ "pdr_optimize" ] }, { "page": "pdr_optimize_df", "title": "Optimize production and consumption parameters for pool dilution data", "topics": [ "pdr_optimize_df" ] }, { "page": "pdr_predict", "title": "Predict total pool, heavy isotope pool, and atom percent", "topics": [ "pdr_predict" ] } ], "_readme": "https://github.com/cran/PoolDilutionR/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "Intro_PoolDilutionR.Rmd", "filename": "Intro_PoolDilutionR.html", "title": "Introduction to PoolDilutionR", "engine": "knitr::rmarkdown", "headings": [ "What is Pool Dilution?", "PoolDilutionR", "Example Data", "Solving for gross rates", "Multi-sample Processing", "Visual Summary of Multisample Output", "Variations with pdr_optimize()", "Optimization of Fractionation", "Under the hood.", "Prediction", "Cost Function", "Fractionation", "Literature" ], "created": "2023-02-15 11:20:06", "modified": "2023-02-15 11:20:06", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "pooldilutionr", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0", "date": "2026-05-31T07:46:19.000Z", "distro": "noble", "commit": "f1ee0d5f35f843f22b50eb612174f81c5a177d82", "fileid": "73f308ff1852821d86df4ada29a2d26d71c28864336d9959f9b425e1a8017202", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26706773037" }, { "r": "4.6.0", "os": "linux", "version": "1.0.0", "date": "2026-05-31T07:46:15.000Z", "distro": "noble", "commit": "f1ee0d5f35f843f22b50eb612174f81c5a177d82", "fileid": "cdf4b1fe39d659900eaf8f14c365b7f44575e29b7c01c40efc47f9f00843ee88", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26706773037" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0", "date": "2026-05-31T07:46:01.000Z", "commit": "f1ee0d5f35f843f22b50eb612174f81c5a177d82", "fileid": "7f3c79ddcd2b82e0d4844dbb41b6ec59c4f815f4bafcfbf0783ad3f8d16c035e", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26706773037" } ] }