{
  "_id": "6ae327ed327abcdf86866ae9",
  "Package": "bakR",
  "Title": "Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets",
  "Version": "1.0.1",
  "Authors@R": "person(given = \"Isaac\",\nfamily = \"Vock\",\nrole = c(\"aut\", \"cre\"),\nemail = \"isaac.vock@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7178-6886\"))",
  "Description": "Several implementations of a novel Bayesian hierarchical\nstatistical model of nucleotide recoding RNA-seq experiments\n(NR-seq; TimeLapse-seq, SLAM-seq, TUC-seq, etc.) for analyzing\nand comparing NR-seq datasets (see 'Vock and Simon' (2023)\n<doi:10.1261/rna.079451.122>). NR-seq is a powerful extension\nof RNA-seq that provides information about the kinetics of RNA\nmetabolism (e.g., RNA degradation rate constants), which is\nnotably lacking in standard RNA-seq data. The statistical model\nmakes maximal use of these high-throughput datasets by sharing\ninformation across transcripts to significantly improve\nuncertainty quantification and increase statistical power.\n'bakR' includes a maximally efficient implementation of this\nmodel for conservative initial investigations of datasets.\n'bakR' also provides more highly powered implementations using\nthe probabilistic programming language 'Stan' to sample from\nthe full posterior distribution. 'bakR' performs multiple-test\nadjusted statistical inference with the output of these model\nimplementations to help biologists separate signal from\nbackground. Methods to automatically visualize key results and\ndetect batch effects are also provided.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.2.3",
  "Biarch": "true",
  "SystemRequirements": "GNU make C++17",
  "VignetteBuilder": "knitr",
  "URL": "https://simonlabcode.github.io/bakR/",
  "BugReports": "https://github.com/simonlabcode/bakR/issues/",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-29 10:47:45 UTC",
    "User": "root"
  },
  "Author": "Isaac Vock [aut, cre] (<https://orcid.org/0000-0002-7178-6886>)",
  "Maintainer": "Isaac Vock <isaac.vock@gmail.com>",
  "Config/pak/sysreqs": "make",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-01-14 02:43:02 UTC",
  "RemoteUrl": "https://github.com/cran/bakR",
  "RemoteRef": "HEAD",
  "RemoteSha": "60faee4f4a732547f0f21f23dbee4514cef09bf6",
  "_user": "cran",
  "_type": "src",
  "_file": "bakR_1.0.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/6c7068ce5e1e347df02f54216e036783f44895bee2b797c35a5a683fb7fae66c",
  "_filesize": 2851931,
  "_sha256": "6c7068ce5e1e347df02f54216e036783f44895bee2b797c35a5a683fb7fae66c",
  "_expires": "2027-02-06T11:03:07.000Z",
  "_created": "2026-10-29T10:47:45.000Z",
  "_published": "2026-10-29T11:03:09.532Z",
  "_upstream": "https://github.com/cran/bakR",
  "_status": "success",
  "_maintainer": {
    "name": "Isaac Vock",
    "email": "isaac.vock@gmail.com",
    "login": "isaacvock",
    "description": "",
    "uuid": 97462739,
    "orcid": "0000-0002-7178-6886"
  },
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/40858610401",
  "_commit": {
    "id": "60faee4f4a732547f0f21f23dbee4514cef09bf6",
    "author": "Isaac Vock <isaac.vock@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.1\n",
    "time": 1705200182
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  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "BH",
      "version": ">= 1.66.0",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 0.12.0",
      "role": "LinkingTo"
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    {
      "package": "RcppEigen",
      "version": ">= 0.3.3.3.0",
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    },
    {
      "package": "RcppParallel",
      "version": ">= 5.0.1",
      "role": "LinkingTo"
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    {
      "package": "rstan",
      "version": ">= 2.26.0",
      "role": "LinkingTo"
    },
    {
      "package": "StanHeaders",
      "version": ">= 2.26.0",
      "role": "LinkingTo"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "version": ">= 0.12.0",
      "role": "Imports"
    },
    {
      "package": "RcppParallel",
      "version": ">= 5.0.1",
      "role": "Imports"
    },
    {
      "package": "rstan",
      "version": ">= 2.26.0",
      "role": "Imports"
    },
    {
      "package": "rstantools",
      "version": ">= 2.1.1",
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    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "Hmisc",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "DESeq2",
      "role": "Suggests"
    },
    {
      "package": "pheatmap",
      "role": "Suggests"
    },
    {
      "package": "Ckmeans.1d.dp",
      "role": "Suggests"
    },
    {
      "package": "corrplot",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "isaacvock",
      "count": 4,
      "uuid": 97462739
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 634,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 332,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/bakR"
  },
  "_devurl": "https://github.com/simonlabcode/bakr",
  "_pkgdown": "https://simonlabcode.github.io/bakR/",
  "_searchresults": 31,
  "_topics": [
    "onetbb",
    "cpp"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/bakR.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/simonlabcode/bakr",
  "_realowner": "simonlabcode",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.2.4",
      "date": "2022-10-10"
    },
    {
      "version": "0.4.0",
      "date": "2023-03-14"
    },
    {
      "version": "1.0.0",
      "date": "2023-06-29"
    },
    {
      "version": "1.0.1",
      "date": "2024-01-13"
    }
  ],
  "_exports": [
    "bakRData",
    "bakRFit",
    "bakRFnData",
    "cBprocess",
    "CorrectDropout",
    "DissectMechanism",
    "fast_analysis",
    "fn_process",
    "FnPCA",
    "FnPCA2",
    "GSprocessing",
    "Heatmap_kdeg",
    "NSSHeat",
    "plotMA",
    "plotVolcano",
    "QC_checks",
    "QuantifyDropout",
    "reliableFeatures",
    "Simulate_bakRData",
    "Simulate_relative_bakRData",
    "VisualizeDropout"
  ],
  "_datasets": [
    {
      "name": "cB_small",
      "title": "Example cB data frame",
      "object": "cB_small",
      "class": [
        "grouped_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "sample",
        "nT",
        "XF",
        "TC",
        "n"
      ],
      "rows": 5788,
      "table": true,
      "tojson": true
    },
    {
      "name": "fns",
      "title": "Example fraction news (fns) data frame",
      "object": "fns",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "sample",
        "XF",
        "fn",
        "se",
        "n"
      ],
      "rows": 1800,
      "table": true,
      "tojson": true
    },
    {
      "name": "GS_table",
      "title": "Example cB data frame",
      "object": "GS_table",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Gene",
        "Symbol",
        "WT_1 Readcount",
        "WT_2 Readcount",
        "WT_ctl Readcount",
        "WT_1 0.05 quantile",
        "WT_1 Mean",
        "WT_1 MAP",
        "WT_1 0.95 quantile",
        "WT_2 0.05 quantile",
        "WT_2 Mean",
        "WT_2 MAP",
        "WT_2 0.95 quantile",
        "WT_1 alpha",
        "WT_1 beta",
        "WT_2 alpha",
        "WT_2 beta",
        "WT_1 Conversions",
        "WT_1 Coverage",
        "WT_1 Double-Hits",
        "WT_1 Double-Hit Coverage",
        "WT_2 Conversions",
        "WT_2 Coverage",
        "WT_2 Double-Hits",
        "WT_2 Double-Hit Coverage",
        "WT_ctl Conversions",
        "WT_ctl Coverage",
        "WT_ctl Double-Hits",
        "WT_ctl Double-Hit Coverage",
        "WT_1 min2",
        "WT_2 min2",
        "WT_ctl min2",
        "Length",
        "KO_1 Readcount",
        "KO_2 Readcount",
        "KO_ctl Readcount",
        "KO_1 0.05 quantile",
        "KO_1 Mean",
        "KO_1 MAP",
        "KO_1 0.95 quantile",
        "KO_2 0.05 quantile",
        "KO_2 Mean",
        "KO_2 MAP",
        "KO_2 0.95 quantile",
        "KO_1 alpha",
        "KO_1 beta",
        "KO_2 alpha",
        "KO_2 beta",
        "KO_1 Conversions",
        "KO_1 Coverage",
        "KO_1 Double-Hits",
        "KO_1 Double-Hit Coverage",
        "KO_2 Conversions",
        "KO_2 Coverage",
        "KO_2 Double-Hits",
        "KO_2 Double-Hit Coverage",
        "KO_ctl Conversions",
        "KO_ctl Coverage",
        "KO_ctl Double-Hits",
        "KO_ctl Double-Hit Coverage",
        "KO_1 min2",
        "KO_2 min2",
        "KO_ctl min2"
      ],
      "rows": 300,
      "table": true,
      "tojson": true
    },
    {
      "name": "metadf",
      "title": "Example meatdf data frame",
      "object": "metadf",
      "class": [
        "data.frame"
      ],
      "fields": [
        "tl",
        "Exp_ID"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bakR-package",
      "title": "The 'bakR' package.",
      "topics": [
        "bakR-package",
        "bakR"
      ]
    },
    {
      "page": "avg_and_regularize",
      "title": "Efficiently average replicates of nucleotide recoding data and regularize",
      "topics": [
        "avg_and_regularize"
      ]
    },
    {
      "page": "bakRData",
      "title": "bakR Data object helper function for users",
      "topics": [
        "bakRData"
      ]
    },
    {
      "page": "bakRFit",
      "title": "Estimating kinetic parameters from nucleotide recoding RNA-seq data",
      "topics": [
        "bakRFit"
      ]
    },
    {
      "page": "bakRFnData",
      "title": "bakRFnData object helper function for users",
      "topics": [
        "bakRFnData"
      ]
    },
    {
      "page": "cB_small",
      "title": "Example cB data frame",
      "topics": [
        "cB_small"
      ]
    },
    {
      "page": "cBprocess",
      "title": "Curate data in bakRData object for statistical modeling",
      "topics": [
        "cBprocess"
      ]
    },
    {
      "page": "CorrectDropout",
      "title": "Correcting for metabolic labeling induced RNA dropout",
      "topics": [
        "CorrectDropout"
      ]
    },
    {
      "page": "DissectMechanism",
      "title": "Construct heatmap for non-steady state (NSS) analysis with improved mechanism score",
      "topics": [
        "DissectMechanism"
      ]
    },
    {
      "page": "fast_analysis",
      "title": "Efficiently analyze nucleotide recoding data",
      "topics": [
        "fast_analysis"
      ]
    },
    {
      "page": "fn_process",
      "title": "Curate data in bakRFnData object for statistical modeling",
      "topics": [
        "fn_process"
      ]
    },
    {
      "page": "FnPCA",
      "title": "Creating PCA plots with logit(fn) estimates",
      "topics": [
        "FnPCA"
      ]
    },
    {
      "page": "FnPCA2",
      "title": "Creating PCA plots with logit(fn) estimates",
      "topics": [
        "FnPCA2"
      ]
    },
    {
      "page": "fns",
      "title": "Example fraction news (fns) data frame",
      "topics": [
        "fns"
      ]
    },
    {
      "page": "GS_table",
      "title": "Example cB data frame",
      "topics": [
        "GS_table"
      ]
    },
    {
      "page": "GSprocessing",
      "title": "Prep GRAND-SLAM output for 'bakRFnData'",
      "topics": [
        "GSprocessing"
      ]
    },
    {
      "page": "Heatmap_kdeg",
      "title": "Creating a L2FC(kdeg) matrix that can be passed to heatmap functions",
      "topics": [
        "Heatmap_kdeg"
      ]
    },
    {
      "page": "metadf",
      "title": "Example meatdf data frame",
      "topics": [
        "metadf"
      ]
    },
    {
      "page": "new_bakRData",
      "title": "bakRData object constructor for internal use",
      "topics": [
        "new_bakRData"
      ]
    },
    {
      "page": "new_bakRFnData",
      "title": "bakRFnData object constructor for internal use",
      "topics": [
        "new_bakRFnData"
      ]
    },
    {
      "page": "NSSHeat",
      "title": "Construct heatmap for non-steady state (NSS) analysis",
      "topics": [
        "NSSHeat"
      ]
    },
    {
      "page": "plotMA",
      "title": "Creating L2FC(kdeg) MA plot from fit objects",
      "topics": [
        "plotMA"
      ]
    },
    {
      "page": "plotVolcano",
      "title": "Creating L2FC(kdeg) volcano plot from fit objects",
      "topics": [
        "plotVolcano"
      ]
    },
    {
      "page": "QC_checks",
      "title": "Check data quality and make suggestions to user about what analyses to run.",
      "topics": [
        "QC_checks"
      ]
    },
    {
      "page": "QuantifyDropout",
      "title": "Fit dropout model to quantify dropout frequency",
      "topics": [
        "QuantifyDropout"
      ]
    },
    {
      "page": "reliableFeatures",
      "title": "Identify features (e.g., transcripts) with high quality data",
      "topics": [
        "reliableFeatures"
      ]
    },
    {
      "page": "Simulate_bakRData",
      "title": "Simulating nucleotide recoding data",
      "topics": [
        "Simulate_bakRData"
      ]
    },
    {
      "page": "Simulate_relative_bakRData",
      "title": "Simulating nucleotide recoding data with relative count data",
      "topics": [
        "Simulate_relative_bakRData"
      ]
    },
    {
      "page": "TL_stan",
      "title": "Fit 'Stan' models to nucleotide recoding RNA-seq data analysis",
      "topics": [
        "TL_stan"
      ]
    },
    {
      "page": "validate_bakRData",
      "title": "bakR Data object validator",
      "topics": [
        "validate_bakRData"
      ]
    },
    {
      "page": "validate_bakRFnData",
      "title": "bakRFnData object validator",
      "topics": [
        "validate_bakRFnData"
      ]
    },
    {
      "page": "VisualizeDropout",
      "title": "Visualize dropout",
      "topics": [
        "VisualizeDropout"
      ]
    }
  ],
  "_pkglogo": "https://github.com/cran/bakR/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/cran/bakR/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "base64enc",
    "BH",
    "bslib",
    "cachem",
    "callr",
    "checkmate",
    "cli",
    "cluster",
    "colorspace",
    "cpp11",
    "data.table",
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    "fs",
    "generics",
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    "gridExtra",
    "gtable",
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    "Hmisc",
    "htmlTable",
    "htmltools",
    "htmlwidgets",
    "inline",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "lifecycle",
    "loo",
    "magrittr",
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    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "RcppParallel",
    "rlang",
    "rmarkdown",
    "rpart",
    "rstan",
    "rstantools",
    "rstudioapi",
    "S7",
    "sass",
    "scales",
    "StanHeaders",
    "stringi",
    "stringr",
    "tensorA",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml"
  ],
  "_sysdeps": [
    {
      "shlib": "libtbb",
      "package": "libtbb12",
      "headers": "libtbb-dev",
      "source": "onetbb",
      "version": "2022.3.0-2",
      "name": "onetbb",
      "homepage": "https://uxlfoundation.github.io/oneTBB/",
      "description": "parallelism library for C++ - runtime files"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "bakR-Fn.Rmd",
      "filename": "bakR-Fn.html",
      "title": "GRAND-SLAM output/fn estimates as bakR input",
      "author": "Isaac Vock",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Necessary Setup",
        "Step 1: Creating a bakRFnData Object",
        "Step 2: Fitting the Efficient Model",
        "Step 3: Visualizing the Results",
        "Step 4: Where to go from here"
      ],
      "created": "2023-06-29 20:20:02",
      "modified": "2023-06-29 20:20:02",
      "commits": 1
    },
    {
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