{
  "_id": "6a1f004db401979e7341ad53",
  "Type": "Package",
  "Package": "quollr",
  "Title": "Visualising How Nonlinear Dimension Reduction Warps Your Data",
  "Version": "1.0.6",
  "Authors@R": "c(\nperson(\"Jayani P.\", \"Gamage\", , \"jayanilakshika76@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6265-6481\")),\nperson(\"Dianne\", \"Cook\", , \"dicook@monash.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3813-7155\")),\nperson(\"Paul\", \"Harrison\", , \"paul.harrison@monash.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3980-268X\")),\nperson(\"Michael\", \"Lydeamore\", , \"michael.lydeamore@monash.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6515-827X\")),\nperson(\"Thiyanga S.\", \"Talagala\", , \"ttalagala@sjp.ac.lk\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-0656-9789\"))\n)",
  "Description": "To construct a model in 2-D space from 2-D nonlinear\ndimension reduction data and then lift it to the\nhigh-dimensional space. Additionally, provides tools to\nvisualise the model overlay the data in 2-D and\nhigh-dimensional space. Furthermore, provides summaries and\ndiagnostics to evaluate the nonlinear dimension reduction\nlayout.",
  "License": "MIT + file LICENSE",
  "URL": "https://jayanilakshika.github.io/quollr/",
  "BugReports": "https://github.com/jayanilakshika/quollr/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "Language": "en-GB",
  "LazyData": "true",
  "RoxygenNote": "7.3.3",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev",
  "Repository": "https://jayanilakshika.r-universe.dev",
  "Date/Publication": "2025-12-19 08:51:50 UTC",
  "RemoteUrl": "https://github.com/jayanilakshika/quollr",
  "RemoteRef": "HEAD",
  "RemoteSha": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-18 09:00:16 UTC",
    "User": "root"
  },
  "Author": "Jayani P. Gamage [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6265-6481>),\nDianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>),\nPaul Harrison [aut] (ORCID: <https://orcid.org/0000-0002-3980-268X>),\nMichael Lydeamore [aut] (ORCID:\n<https://orcid.org/0000-0001-6515-827X>),\nThiyanga S. Talagala [aut] (ORCID:\n<https://orcid.org/0000-0002-0656-9789>)",
  "Maintainer": "Jayani P. Gamage <jayanilakshika76@gmail.com>",
  "MD5sum": "d6b489c0910943f24952acb1426cca47",
  "_user": "jayanilakshika",
  "_type": "src",
  "_file": "quollr_1.0.6.tar.gz",
  "_fileid": "7fd418a1e9a8c1bc6358ce51a2bbceac27432aedcf13c9f799931ba8cec6a125",
  "_filesize": 3880785,
  "_sha256": "7fd418a1e9a8c1bc6358ce51a2bbceac27432aedcf13c9f799931ba8cec6a125",
  "_created": "2026-05-18T09:00:16.000Z",
  "_published": "2026-06-02T16:09:49.895Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79116664152,
      "time": 207,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7053646301"
    },
    {
      "job": 79116663794,
      "time": 238,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7053657303"
    },
    {
      "job": 79116664619,
      "time": 222,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7053651700"
    },
    {
      "job": 79116664052,
      "time": 220,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7053650359"
    },
    {
      "job": 79116664934,
      "time": 111,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7053613431"
    },
    {
      "job": 79116665078,
      "time": 503,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7053747649"
    },
    {
      "job": 79116664779,
      "time": 146,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7053625469"
    },
    {
      "job": 79116663923,
      "time": 312,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7053685098"
    },
    {
      "job": 79116663094,
      "time": 254,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7053575568"
    },
    {
      "job": 79116662865,
      "time": 164,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7363305038"
    },
    {
      "job": 79116663579,
      "time": 191,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7053641239"
    },
    {
      "job": 79116664355,
      "time": 190,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7053640873"
    },
    {
      "job": 79116663823,
      "time": 164,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7053631785"
    }
  ],
  "_buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/jayanilakshika/quollr",
  "_commit": {
    "id": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
    "author": "JayaniLakshika <jayanilakshika76@gmail.com>",
    "committer": "JayaniLakshika <jayanilakshika76@gmail.com>",
    "message": "SUBMITTED TO CRAN !!!!!\n",
    "time": 1766134310
  },
  "_maintainer": {
    "name": "Jayani P. Gamage",
    "email": "jayanilakshika76@gmail.com",
    "login": "jayanilakshika",
    "bluesky": "@jayanigamage.bsky.social",
    "orcid": "0000-0002-6265-6481",
    "description": "PhD student",
    "uuid": 62740181
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "cli",
      "role": "Imports"
    },
    {
      "package": "crosstalk",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "grid",
      "role": "Imports"
    },
    {
      "package": "htmltools",
      "role": "Imports"
    },
    {
      "package": "interp",
      "version": ">= 1.1-6",
      "role": "Imports"
    },
    {
      "package": "langevitour",
      "role": "Imports"
    },
    {
      "package": "patchwork",
      "role": "Imports"
    },
    {
      "package": "plotly",
      "role": "Imports"
    },
    {
      "package": "proxy",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "role": "Imports"
    },
    {
      "package": "rsample",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "tidyselect",
      "role": "Imports"
    },
    {
      "package": "detourr",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "vdiffr",
      "role": "Suggests"
    }
  ],
  "_owner": "jayanilakshika",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [
    {
      "week": "2025-20",
      "n": 13
    },
    {
      "week": "2025-21",
      "n": 8
    },
    {
      "week": "2025-23",
      "n": 1
    },
    {
      "week": "2025-24",
      "n": 2
    },
    {
      "week": "2025-26",
      "n": 10
    },
    {
      "week": "2025-28",
      "n": 5
    },
    {
      "week": "2025-29",
      "n": 3
    },
    {
      "week": "2025-30",
      "n": 12
    },
    {
      "week": "2025-35",
      "n": 7
    },
    {
      "week": "2025-36",
      "n": 6
    },
    {
      "week": "2025-38",
      "n": 10
    },
    {
      "week": "2025-39",
      "n": 3
    },
    {
      "week": "2025-43",
      "n": 3
    },
    {
      "week": "2025-44",
      "n": 1
    },
    {
      "week": "2025-46",
      "n": 7
    },
    {
      "week": "2025-48",
      "n": 1
    },
    {
      "week": "2025-50",
      "n": 11
    },
    {
      "week": "2025-51",
      "n": 7
    }
  ],
  "_tags": [
    {
      "name": "v0.3.5",
      "date": "2025-07-22"
    },
    {
      "name": "v0.3.7",
      "date": "2025-07-22"
    },
    {
      "name": "v1.0.1",
      "date": "2025-11-11"
    },
    {
      "name": "v1.0.2",
      "date": "2025-11-11"
    },
    {
      "name": "v1.0.2-new",
      "date": "2025-11-25"
    }
  ],
  "_stars": 8,
  "_contributors": [
    {
      "user": "jayanilakshika",
      "count": 408,
      "uuid": 62740181
    },
    {
      "user": "dicook",
      "count": 1,
      "uuid": 253191
    }
  ],
  "_userbio": {
    "uuid": 62740181,
    "type": "user",
    "name": "Jayani Lakshika",
    "description": "PhD student"
  },
  "_downloads": {
    "count": 191,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/quollr"
  },
  "_devurl": "https://github.com/jayanilakshika/quollr",
  "_pkgdown": "https://jayanilakshika.github.io/quollr/",
  "_searchresults": 106,
  "_topics": [
    "cpp"
  ],
  "_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/quollr.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/jayanilakshika/quollr",
  "_realowner": "jayanilakshika",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.1",
      "date": "2024-03-05"
    },
    {
      "version": "0.3.7",
      "date": "2025-07-22"
    },
    {
      "version": "0.3.13",
      "date": "2025-09-23"
    },
    {
      "version": "1.0.1",
      "date": "2025-11-11"
    },
    {
      "version": "1.0.4",
      "date": "2025-12-15"
    },
    {
      "version": "1.0.6",
      "date": "2025-12-18"
    }
  ],
  "_exports": [
    "assign_data",
    "augment",
    "avg_highd_data",
    "calc_2d_dist",
    "calc_bins_y",
    "comb_all_data_model",
    "comb_all_data_model_error",
    "comb_data_model",
    "compute_mean_density_hex",
    "compute_std_counts",
    "find_low_dens_hex",
    "find_non_empty_bins",
    "fit_highd_model",
    "gen_axes",
    "gen_centroids",
    "gen_design",
    "gen_diffbin1_errors",
    "gen_edges",
    "gen_hex_coord",
    "gen_scaled_data",
    "geom_hexgrid",
    "geom_trimesh",
    "get_projection",
    "glance",
    "group_hex_pts",
    "hex_binning",
    "merge_hexbin_centroids",
    "merge_hexbin_mean",
    "plot_hbe_layouts",
    "plot_proj",
    "predict_emb",
    "quad",
    "show_error_link_plots",
    "show_langevitour",
    "show_link_plots",
    "stat_hexgrid",
    "stat_trimesh",
    "tri_bin_centroids",
    "update_trimesh_index"
  ],
  "_datasets": [
    {
      "name": "scurve",
      "title": "S-curve dataset with noise dimensions",
      "object": "scurve",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "x5",
        "x6",
        "x7",
        "ID"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_model_obj",
      "title": "Object for S-curve dataset",
      "object": "scurve_model_obj",
      "class": [
        "highd_vis_model"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "scurve_plts",
      "title": "List of plots",
      "object": "scurve_plts",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "scurve_umap",
      "title": "UMAP embedding for 'scurve' with n_neighbors = 15 and min_dist = 0.1",
      "object": "scurve_umap",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2",
        "ID"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap_predict",
      "title": "Predicted UMAP embedding for 'scurve' data",
      "object": "scurve_umap_predict",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2",
        "ID"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap_rmse",
      "title": "Summary with different number of bins for 'scurve_umap'",
      "object": "scurve_umap_rmse",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Error",
        "HBE",
        "b1",
        "b2",
        "b",
        "m",
        "a1",
        "a2",
        "n_bar",
        "method"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap_rmse2",
      "title": "Summary with different number of bins for 'scurve_umap2'",
      "object": "scurve_umap_rmse2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Error",
        "HBE",
        "b1",
        "b2",
        "b",
        "m",
        "a1",
        "a2",
        "n_bar",
        "method"
      ],
      "rows": 28,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap_rmse3",
      "title": "Summary with different number of bins for 'scurve_umap3'",
      "object": "scurve_umap_rmse3",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Error",
        "HBE",
        "b1",
        "b2",
        "b",
        "m",
        "a1",
        "a2",
        "n_bar",
        "method"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap_rmse4",
      "title": "Summary with different number of bins for 'scurve_umap4'",
      "object": "scurve_umap_rmse4",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Error",
        "HBE",
        "b1",
        "b2",
        "b",
        "m",
        "a1",
        "a2",
        "n_bar",
        "method"
      ],
      "rows": 23,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap2",
      "title": "UMAP embedding for 'scurve' with n_neighbors = 10 and min_dist = 0.4",
      "object": "scurve_umap2",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2",
        "ID"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap3",
      "title": "UMAP embedding for 'scurve' with n_neighbors = 62 and min_dist = 0.1",
      "object": "scurve_umap3",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2",
        "ID"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "scurve_umap4",
      "title": "UMAP embedding for 'scurve' with n_neighbors = 30 and min_dist = 0.5",
      "object": "scurve_umap4",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2",
        "ID"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "assign_data",
      "title": "Assign data to hexagons",
      "topics": [
        "assign_data"
      ]
    },
    {
      "page": "augment",
      "title": "S3 generic for augment",
      "topics": [
        "augment"
      ]
    },
    {
      "page": "augment.highd_vis_model",
      "title": "Augment Data with Predictions and Error Metrics for NLDR Models",
      "topics": [
        "augment.highd_vis_model"
      ]
    },
    {
      "page": "avg_highD_data",
      "title": "Create a tibble with averaged high-dimensional data",
      "topics": [
        "avg_highd_data"
      ]
    },
    {
      "page": "calc_2d_dist",
      "title": "Calculate 2-D Euclidean distances between vertices",
      "topics": [
        "calc_2d_dist"
      ]
    },
    {
      "page": "calc_bins_y",
      "title": "Calculate the effective number of bins along x-axis and y-axis",
      "topics": [
        "calc_bins_y"
      ]
    },
    {
      "page": "comb_all_data_model",
      "title": "Create a tibble with averaged high-dimensional data and high-dimensional data, non-linear dimension reduction data",
      "topics": [
        "comb_all_data_model"
      ]
    },
    {
      "page": "comb_all_data_model_error",
      "title": "Create a tibble with averaged high-dimensional data and high-dimensional data, non-linear dimension reduction data, model error data",
      "topics": [
        "comb_all_data_model_error"
      ]
    },
    {
      "page": "comb_data_model",
      "title": "Create a tibble with averaged high-dimensional data and high-dimensional data",
      "topics": [
        "comb_data_model"
      ]
    },
    {
      "page": "compute_mean_density_hex",
      "title": "Compute mean density of hexagonal bins",
      "topics": [
        "compute_mean_density_hex"
      ]
    },
    {
      "page": "compute_std_counts",
      "title": "Compute standardise counts in hexagons",
      "topics": [
        "compute_std_counts"
      ]
    },
    {
      "page": "find_low_dens_hex",
      "title": "Find low-density Hexagons",
      "topics": [
        "find_low_dens_hex"
      ]
    },
    {
      "page": "find_non_empty_bins",
      "title": "Find the number of bins required to achieve required number of non-empty bins.",
      "topics": [
        "find_non_empty_bins"
      ]
    },
    {
      "page": "fit_highd_model",
      "title": "Construct the 2-D model and lift into high-dimensions",
      "topics": [
        "fit_highd_model"
      ]
    },
    {
      "page": "gen_axes",
      "title": "Generate Axes for Projection",
      "topics": [
        "gen_axes"
      ]
    },
    {
      "page": "gen_centroids",
      "title": "Generate centroid coordinate",
      "topics": [
        "gen_centroids"
      ]
    },
    {
      "page": "gen_design",
      "title": "Generate a design to layout 2-D representations",
      "topics": [
        "gen_design"
      ]
    },
    {
      "page": "gen_diffbin1_errors",
      "title": "Generate erros and MSE for different bin widths",
      "topics": [
        "gen_diffbin1_errors"
      ]
    },
    {
      "page": "gen_edges",
      "title": "Generate edge information",
      "topics": [
        "gen_edges"
      ]
    },
    {
      "page": "gen_hex_coord",
      "title": "Generate hexagonal polygon coordinates",
      "topics": [
        "gen_hex_coord"
      ]
    },
    {
      "page": "gen_scaled_data",
      "title": "Scaling the NLDR data",
      "topics": [
        "gen_scaled_data"
      ]
    },
    {
      "page": "geom_hexgrid",
      "title": "Create a hexgrid plot",
      "topics": [
        "geom_hexgrid"
      ]
    },
    {
      "page": "geom_trimesh",
      "title": "Create a trimesh plot",
      "topics": [
        "geom_trimesh"
      ]
    },
    {
      "page": "GeomHexgrid",
      "title": "GeomHexgrid: A Custom ggplot2 Geom for Hexagonal Grid",
      "topics": [
        "GeomHexgrid"
      ]
    },
    {
      "page": "GeomTrimesh",
      "title": "GeomTrimesh: A Custom ggplot2 Geom for Triangular Meshes",
      "topics": [
        "GeomTrimesh"
      ]
    },
    {
      "page": "get_projection",
      "title": "Compute Projection for High-Dimensional Data",
      "topics": [
        "get_projection"
      ]
    },
    {
      "page": "glance",
      "title": "S3 generic for glance",
      "topics": [
        "glance"
      ]
    },
    {
      "page": "glance.highd_vis_model",
      "title": "Generate evaluation metrics for a hex_model object",
      "topics": [
        "glance.highd_vis_model"
      ]
    },
    {
      "page": "group_hex_pts",
      "title": "Grouped points in each hexagon",
      "topics": [
        "group_hex_pts"
      ]
    },
    {
      "page": "hex_binning",
      "title": "Hexagonal binning",
      "topics": [
        "hex_binning"
      ]
    },
    {
      "page": "merge_hexbin_centroids",
      "title": "Extract hexagonal bin centroids coordinates and the corresponding standardise counts.",
      "topics": [
        "merge_hexbin_centroids"
      ]
    },
    {
      "page": "merge_hexbin_mean",
      "title": "Extract hexagonal bin mean coordinates and the corresponding standardize counts.",
      "topics": [
        "merge_hexbin_mean"
      ]
    },
    {
      "page": "plot_hbe_layouts",
      "title": "Arrange HBE plot and 2-D layouts",
      "topics": [
        "plot_hbe_layouts"
      ]
    },
    {
      "page": "plot_proj",
      "title": "Plot Projected Data with Axes and Circles",
      "topics": [
        "plot_proj"
      ]
    },
    {
      "page": "predict_emb",
      "title": "Predict 2-D embeddings",
      "topics": [
        "predict_emb"
      ]
    },
    {
      "page": "quad",
      "title": "Solve Quadratic Equation for Positive Real Roots",
      "topics": [
        "quad"
      ]
    },
    {
      "page": "scurve",
      "title": "S-curve dataset with noise dimensions",
      "topics": [
        "scurve"
      ]
    },
    {
      "page": "scurve_model_obj",
      "title": "Object for S-curve dataset",
      "topics": [
        "scurve_model_obj"
      ]
    },
    {
      "page": "scurve_plts",
      "title": "List of plots",
      "topics": [
        "scurve_plts"
      ]
    },
    {
      "page": "scurve_umap",
      "title": "UMAP embedding for `scurve` with n_neighbors = 15 and min_dist = 0.1",
      "topics": [
        "scurve_umap"
      ]
    },
    {
      "page": "scurve_umap_predict",
      "title": "Predicted UMAP embedding for `scurve` data",
      "topics": [
        "scurve_umap_predict"
      ]
    },
    {
      "page": "scurve_umap_rmse",
      "title": "Summary with different number of bins for `scurve_umap`",
      "topics": [
        "scurve_umap_rmse"
      ]
    },
    {
      "page": "scurve_umap_rmse2",
      "title": "Summary with different number of bins for `scurve_umap2`",
      "topics": [
        "scurve_umap_rmse2"
      ]
    },
    {
      "page": "scurve_umap_rmse3",
      "title": "Summary with different number of bins for `scurve_umap3`",
      "topics": [
        "scurve_umap_rmse3"
      ]
    },
    {
      "page": "scurve_umap_rmse4",
      "title": "Summary with different number of bins for `scurve_umap4`",
      "topics": [
        "scurve_umap_rmse4"
      ]
    },
    {
      "page": "scurve_umap2",
      "title": "UMAP embedding for `scurve` with n_neighbors = 10 and min_dist = 0.4",
      "topics": [
        "scurve_umap2"
      ]
    },
    {
      "page": "scurve_umap3",
      "title": "UMAP embedding for `scurve` with n_neighbors = 62 and min_dist = 0.1",
      "topics": [
        "scurve_umap3"
      ]
    },
    {
      "page": "scurve_umap4",
      "title": "UMAP embedding for `scurve` with n_neighbors = 30 and min_dist = 0.5",
      "topics": [
        "scurve_umap4"
      ]
    },
    {
      "page": "show_error_link_plots",
      "title": "Visualise the model overlaid on high-dimensional data along with 2-D wireframe model and error.",
      "topics": [
        "show_error_link_plots"
      ]
    },
    {
      "page": "show_langevitour",
      "title": "Visualise the model overlaid on high-dimensional data",
      "topics": [
        "show_langevitour"
      ]
    },
    {
      "page": "show_link_plots",
      "title": "Visualise the model overlaid on high-dimensional data along with 2-D wireframe model.",
      "topics": [
        "show_link_plots"
      ]
    },
    {
      "page": "stat_hexgrid",
      "title": "stat_hexgrid Custom Stat for hexagonal grid plot",
      "topics": [
        "stat_hexgrid"
      ]
    },
    {
      "page": "stat_trimesh",
      "title": "stat_trimesh Custom Stat for trimesh plot",
      "topics": [
        "stat_trimesh"
      ]
    },
    {
      "page": "tri_bin_centroids",
      "title": "Triangulate bin centroids",
      "topics": [
        "tri_bin_centroids"
      ]
    },
    {
      "page": "update_trimesh_index",
      "title": "Update from and to values in trimesh data",
      "topics": [
        "update_trimesh_index"
      ]
    }
  ],
  "_pkglogo": "https://github.com/jayanilakshika/quollr/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/jayanilakshika/quollr/raw/HEAD/README.md",
  "_rundeps": [
    "askpass",
    "assertthat",
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "codetools",
    "cpp11",
    "crosstalk",
    "curl",
    "data.table",
    "deldir",
    "digest",
    "dplyr",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fs",
    "furrr",
    "future",
    "generics",
    "ggplot2",
    "globals",
    "glue",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httr",
    "interp",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "langevitour",
    "later",
    "lazyeval",
    "lifecycle",
    "listenv",
    "magrittr",
    "memoise",
    "mime",
    "openssl",
    "otel",
    "parallelly",
    "patchwork",
    "pillar",
    "pkgconfig",
    "plotly",
    "promises",
    "proxy",
    "purrr",
    "R6",
    "RANN",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "rlang",
    "rmarkdown",
    "rsample",
    "S7",
    "sass",
    "scales",
    "slider",
    "stringi",
    "stringr",
    "sys",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "viridisLite",
    "warp",
    "withr",
    "xfun",
    "yaml"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "quollr1quickstart.Rmd",
      "filename": "quollr1quickstart.html",
      "title": "Quick start ",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2025-07-22 00:15:23",
      "modified": "2025-12-14 11:27:24",
      "commits": 4
    },
    {
      "source": "quollr2dataprocessing.Rmd",
      "filename": "quollr2dataprocessing.html",
      "title": "Data preprocessing ",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2025-07-22 00:15:23",
      "modified": "2025-12-14 11:27:24",
      "commits": 2
    },
    {
      "source": "quollr3hexbin.Rmd",
      "filename": "quollr3hexbin.html",
      "title": "Algorithm for binning data ",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2024-02-29 23:51:59",
      "modified": "2025-12-14 11:27:24",
      "commits": 23
    },
    {
      "source": "quollr4algo.Rmd",
      "filename": "quollr4algo.html",
      "title": "Algorithm for visualising the model overlaid on high-dimensional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Step 1: Construct the 2-D model",
        "Hexagonal Binning",
        "Extract bin centroids",
        "Triangulate the bin centroids",
        "Generate edges from triangulation",
        "Visualise the triangular mesh",
        "Step 2: Lift the model into high dimensions",
        "Map bins to high-dimensional observations",
        "Compute high-dimensional coordinates for bins",
        "Step 3: Visualise the high-dimensional model",
        "Prepare data for visualisation",
        "Interactive tour of model overlay"
      ],
      "created": "2025-07-22 00:15:23",
      "modified": "2025-12-14 11:27:24",
      "commits": 5
    },
    {
      "source": "quollr5summary.Rmd",
      "filename": "quollr5summary.html",
      "title": "Generating model summaries ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Step 1: Fitting the model",
        "Step 2: Predicting 2-D embedding for data",
        "Visualising predictions",
        "Step 3: Computing model summaries",
        "Step 4: Augmenting the dataset"
      ],
      "created": "2025-07-22 00:15:23",
      "modified": "2025-12-14 11:27:24",
      "commits": 5
    },
    {
      "source": "quollr6bestbinwidth.Rmd",
      "filename": "quollr6bestbinwidth.html",
      "title": "Selecting the optimal bin width ",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2025-05-05 04:45:50",
      "modified": "2025-12-14 11:27:24",
      "commits": 5
    },
    {
      "source": "quollr7bestfit.Rmd",
      "filename": "quollr7bestfit.html",
      "title": "Selecting the best fit ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Step 1: Generate design for 2-D NLDR layouts",
        "Step 2: Visualising HBE across configurations"
      ],
      "created": "2025-05-05 04:45:50",
      "modified": "2025-10-26 06:17:47",
      "commits": 6
    },
    {
      "source": "quollr8linkeddetourr.Rmd",
      "filename": "quollr8linkeddetourr.html",
      "title": "Linked plots with detourr ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Fitting the Model",
        "Two-Panel Linked View: NLDR Layout and Tour",
        "Three-Panel Linked View: Adding Model Error"
      ],
      "created": "2025-12-14 11:11:44",
      "modified": "2025-12-15 11:25:55",
      "commits": 4
    }
  ],
  "_score": 8.262849603407645,
  "_indexed": true,
  "_nocasepkg": "quollr",
  "_universes": [
    "jayanilakshika"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.6",
      "date": "2026-05-18T09:03:19.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "91bb808dae43d7e90fb8e47ea3a4c0f2af0926487dd1aca1037728f5cec281dd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.6",
      "date": "2026-05-18T09:03:37.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "352c987fa9fae2218939a78a6360865c636c87ed83066451df393c3816861fb3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.6",
      "date": "2026-05-18T09:03:38.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "4a8c4a0e1f8b5c5f27412aeda97c2eff44979ed3e9327d671df4071aa6ab7e34",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.6",
      "date": "2026-05-18T09:03:29.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "ff640b4680c7e33531432e09e8151cbe79cc947edb04ca4c2f1159896acae95a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.6",
      "date": "2026-05-18T09:02:01.000Z",
      "arch": "aarch64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "80fabbcf6715fc485c954fff9af91a3e2f30a1eec04dd6a93fa3e741ab75c08a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.6",
      "date": "2026-05-18T09:05:27.000Z",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "e9d6763a4c21c649173a7fed3dbbc06b3a23231d1daba189ff04008bf9b9e94e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.6",
      "date": "2026-05-18T09:02:25.000Z",
      "arch": "aarch64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "0346d1f88a0612d8584a2d9149c5df7f92885fc67913faa79f9db9ca38e51a51",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.6",
      "date": "2026-05-18T09:04:17.000Z",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "2f7765d00cea491507977fa3ff1891be6e874c9adfce54634c2abf21dd1ea8b9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.6",
      "date": "2026-05-18T09:02:11.000Z",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "10fc475f1f00b351fc1f7651f40acf991757b7f1ce12f25df850a98b07fe1e59",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.6",
      "date": "2026-05-18T09:01:56.000Z",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "3bd62fab3f82d3587ffd18807e150e57e096cc3b980e26b711ec5046b55f5880",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.0.6",
      "date": "2026-05-18T09:01:54.000Z",
      "arch": "x86_64",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "36d1c4f6bf4313c3abc1d1604e72a5570e7e2b40925a4c3c70444b4d7ff6c322",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.6",
      "date": "2026-06-02T16:09:04.000Z",
      "arch": "emscripten",
      "commit": "2bee860e76de39eb342e546c0e32ad2b3e4b0a9a",
      "fileid": "33abfc84221f773c9d8f60774cd7cf78c353aedcd9e20e6d71f03e6226c20ac5",
      "status": "success",
      "buildurl": "https://github.com/r-universe/jayanilakshika/actions/runs/26023540793"
    }
  ]
}