{
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  "Title": "Single-Case Data Analyses for Single and Multiple Baseline\nDesigns",
  "Version": "0.68.1",
  "Date": "2026-04-27",
  "Authors@R": "c(\nperson(\"Juergen\", \"Wilbert\", email = \"juergen.wilbert@uni-muenster.de\",\nrole = c(\"cre\", \"aut\"), comment = c(ORCID = \"0000-0002-8392-2873\")),\nperson(\"Timo\", \"Lueke\", email = \"timo.lueke@uni-graz.at\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2603-7341\")))",
  "Description": "A collection of procedures for analysing, visualising, and\nmanaging single-case data. Multi-phase and multi-baseline\ndesigns are supported. Analysing methods include regression\nmodels (multilevel, multivariate, bayesian), between case\nstandardised mean difference, overlap indices ('PND', 'PEM',\n'PAND', 'NAP', 'PET', 'tau-u', 'IRD', 'baseline corrected tau',\n'CDC'), and randomization tests. Data preparation functions\nsupport outlier detection, handling missing values, scaling,\nand custom transformations. An export function helps to\ngenerate html, word, and latex tables in a publication friendly\nstyle. A shiny app allows to use scan in a graphical user\ninterface. More details can be found in the online book\n'Analyzing single-case data with R and scan', Juergen Wilbert\n(2026) <https://jazznbass.github.io/scan-Book/>.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/jazznbass/scan/,\nhttps://jazznbass.github.io/scan-Book/,\nhttps://jazznbass.github.io/scan/",
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  "Date/Publication": "2026-04-28 06:04:16 UTC",
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    "rand_test",
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    "randSC",
    "ranks",
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    "standardize",
    "style_plot",
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    "tauUSC",
    "trend",
    "truncate_phase",
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        "list"
      ],
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      "table": false,
      "tojson": true
    },
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      "name": "SSDforR2017",
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      "object": "SSDforR2017",
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        "list"
      ],
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      "table": false,
      "tojson": true
    },
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      "name": "Tarlow2017",
      "title": "Single-case example data sets",
      "object": "Tarlow2017",
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        "list"
      ],
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      "table": false,
      "tojson": true
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      "name": "Waddell2011",
      "title": "Single-case example data sets",
      "object": "Waddell2011",
      "class": [
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        "list"
      ],
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      "table": false,
      "tojson": true
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    {
      "page": "add_dummy_variables",
      "title": "Add Dummy Variables for Piecewise Linear Models",
      "topics": [
        "add_dummy_variables"
      ]
    },
    {
      "page": "add_l2",
      "title": "Add level-2 data to an scdf",
      "concept": [
        "data manipulation functions"
      ],
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        "add_l2"
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      "page": "anova.sc_plm",
      "title": "ANOVA Table for Piecewise Linear Models",
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        "anova.sc_mplm",
        "anova.sc_plm"
      ]
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      "page": "as_scdf",
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      "page": "as.data.frame.scdf",
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      "concept": [
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        "batch_apply"
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        "print.sc_bcsmd"
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        "combine"
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      "concept": [
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      "concept": [
        "mc functions"
      ],
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        "design"
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        "estimate_design"
      ]
    },
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      "page": "example_data_sets",
      "title": "Single-case example data sets",
      "topics": [
        "Beretvas2008",
        "Borckardt2014",
        "byHeart2011",
        "exampleA1B1A2B2",
        "exampleA1B1A2B2_zvt",
        "exampleAB",
        "exampleABAB",
        "exampleABC",
        "exampleABC_150",
        "exampleABC_50",
        "exampleABC_outlier",
        "exampleAB_50",
        "exampleAB_50.l2",
        "exampleAB_add",
        "exampleAB_decreasing",
        "exampleAB_mpd",
        "exampleAB_score",
        "exampleAB_simple",
        "example_A24",
        "example_atd",
        "example_data_sets",
        "example_stranger",
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        "Grosche2014",
        "GruenkeWilbert2014",
        "Huber2014",
        "Huitema2000",
        "Leidig2018",
        "Leidig2018_l2",
        "Lenz2013",
        "Parker2007",
        "Parker2009",
        "Parker2009b",
        "Parker2011",
        "Parker2011b",
        "SSDforR2017",
        "Tarlow2017",
        "Waddell2011"
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        "export.sc_desc",
        "export.sc_nap",
        "export.sc_overlap",
        "export.sc_pem",
        "export.sc_pet",
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        "export.sc_smd",
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        "moving_median",
        "rowwise",
        "set_na_at",
        "transform.scdf"
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        "mplm",
        "print.sc_mplm"
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      "page": "na.omit.scdf",
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