{
  "_id": "6a2be1263efcd9bda42cb9b1",
  "Package": "gasper",
  "Type": "Package",
  "Title": "Graph Signal Processing",
  "Version": "1.1.6",
  "Authors@R": "c(person(\"Basile\", \"de Loynes\", role = \"aut\", \nemail = \"basile.deloynes@ensai.fr\",\ncomment = c(ORCID = \"0000-0002-5397-6811\")),\nperson(\"Fabien\", \"Navarro\", role = c(\"aut\", \"cre\"),\nemail = \"fabien.navarro@math.cnrs.fr\",\ncomment = c(ORCID = \"0000-0002-4979-2745\")),\nperson(\"Baptiste\", \"Olivier\", role = \"aut\",\nemail = \"baptiste.olivier@orange.com\",\ncomment = c(ORCID = \"0000-0002-5853-0341\")))",
  "Description": "Provides the standard operations for signal processing on\ngraphs: graph Fourier transform, spectral graph wavelet\ntransform, visualization tools. It also implements a data\ndriven method for graph signal denoising/regression, for\ndetails see De Loynes, Navarro, Olivier (2019)\n<arxiv:1906.01882>. The package also provides an interface to\nthe SuiteSparse Matrix Collection, <https://sparse.tamu.edu/>,\na large and widely used set of sparse matrix benchmarks\ncollected from a wide range of applications.",
  "URL": "https://github.com/fabnavarro/gasper",
  "BugReports": "https://github.com/fabnavarro/gasper/issues",
  "License": "LGPL (>= 2)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.2.3",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-12 10:29:40 UTC",
    "User": "root"
  },
  "Author": "Basile de Loynes [aut]\n(<https://orcid.org/0000-0002-5397-6811>), Fabien Navarro [aut,\ncre] (<https://orcid.org/0000-0002-4979-2745>), Baptiste\nOlivier [aut] (<https://orcid.org/0000-0002-5853-0341>)",
  "Maintainer": "Fabien Navarro <fabien.navarro@math.cnrs.fr>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-02-29 02:30:36 UTC",
  "RemoteUrl": "https://github.com/cran/gasper",
  "RemoteRef": "HEAD",
  "RemoteSha": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
  "MD5sum": "cbe48b0a974c8fea20ad9701494bc77a",
  "_user": "cran",
  "_type": "src",
  "_file": "gasper_1.1.6.tar.gz",
  "_fileid": "8e589f3509befad4aa03adbd80246858141e9e81c26628545693ca0119b1f78d",
  "_filesize": 953300,
  "_sha256": "8e589f3509befad4aa03adbd80246858141e9e81c26628545693ca0119b1f78d",
  "_created": "2026-06-12T10:29:40.000Z",
  "_published": "2026-06-12T10:36:22.554Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 81009155634,
      "time": 170,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7589240768"
    },
    {
      "job": 81009155631,
      "time": 162,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7589238545"
    },
    {
      "job": 81009155744,
      "time": 148,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7589233943"
    },
    {
      "job": 81009155669,
      "time": 329,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7589294392"
    },
    {
      "job": 81008541779,
      "time": 233,
      "config": "source",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7589183139"
    },
    {
      "job": 81009155612,
      "time": 127,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7589226196"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/27409961234",
  "_status": "failure",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/gasper",
  "_commit": {
    "id": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
    "author": "Fabien Navarro <fabien.navarro@math.cnrs.fr>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.1.6\n",
    "time": 1709173836
  },
  "_maintainer": {
    "name": "Fabien Navarro",
    "email": "fabien.navarro@math.cnrs.fr",
    "orcid": "0000-0002-4979-2745"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "RSpectra",
      "role": "Imports"
    },
    {
      "package": "httr",
      "role": "Imports"
    },
    {
      "package": "curl",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "kableExtra",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "rvest",
      "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": 238,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gasper"
  },
  "_devurl": "https://github.com/fabnavarro/gasper",
  "_searchresults": 46,
  "_topics": [
    "openblas",
    "cpp"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/gasper.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/fabnavarro/gasper",
  "_realowner": "fabnavarro",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.1",
      "date": "2020-08-03"
    },
    {
      "version": "1.1.0",
      "date": "2021-02-09"
    },
    {
      "version": "1.1.1",
      "date": "2021-02-16"
    },
    {
      "version": "1.1.2",
      "date": "2023-01-07"
    },
    {
      "version": "1.1.3",
      "date": "2023-02-11"
    },
    {
      "version": "1.1.4",
      "date": "2023-08-26"
    },
    {
      "version": "1.1.5",
      "date": "2023-10-27"
    },
    {
      "version": "1.1.6",
      "date": "2024-02-28"
    }
  ],
  "_exports": [
    "adjacency_mat",
    "analysis",
    "betathresh",
    "download_graph",
    "eigendec",
    "eigensort",
    "forward_gft",
    "forward_sgwt",
    "full",
    "fullup",
    "get_graph_info",
    "GVN",
    "HPFVN",
    "inverse_gft",
    "inverse_sgwt",
    "laplacian_mat",
    "LD_SUREthresh",
    "localize_gft",
    "localize_sgwt",
    "plot_filter",
    "plot_graph",
    "plot_signal",
    "PSNR",
    "randsignal",
    "smoothmodulus",
    "SNR",
    "spectral_coords",
    "SURE_MSEthresh",
    "SUREthresh",
    "swissroll",
    "synthesis",
    "tight_frame",
    "zetav"
  ],
  "_datasets": [
    {
      "name": "grid1",
      "title": "Grid1 Graph from AG-Monien Graph Collection",
      "object": "grid1",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "minnesota",
      "title": "Minnesota Road Network",
      "object": "minnesota",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "NYCdata",
      "title": "NYC Taxi Network Dataset",
      "object": "NYCdata",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "pittsburgh",
      "title": "Pittsburgh Census Tracts Network.",
      "object": "pittsburgh",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "rlogo",
      "title": "R logo graph.",
      "object": "rlogo",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "SuiteSparseData",
      "title": "Matrix Data from SuiteSparse Matrix Collection",
      "object": "SuiteSparseData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ID",
        "Name",
        "Group",
        "Rows",
        "Cols",
        "Nonzeros",
        "Kind",
        "Date"
      ],
      "rows": 2893,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adjacency_mat",
      "title": "Compute the Adjacency Matrix of a Gaussian Weighted Graph",
      "topics": [
        "adjacency_mat"
      ]
    },
    {
      "page": "analysis",
      "title": "Compute the Analysis Operator for a Graph Signal",
      "topics": [
        "analysis"
      ]
    },
    {
      "page": "betathresh",
      "title": "Apply Beta Threshold to Data",
      "topics": [
        "betathresh"
      ]
    },
    {
      "page": "download_graph",
      "title": "Download Sparse Matrix form the SuiteSparse Matrix Collection",
      "topics": [
        "download_graph"
      ]
    },
    {
      "page": "eigendec",
      "title": "Spectral decomposition of a symetric matrix",
      "topics": [
        "eigendec"
      ]
    },
    {
      "page": "eigensort",
      "title": "Spectral Decomposition of a Symmetric Matrix",
      "topics": [
        "eigensort"
      ]
    },
    {
      "page": "forward_gft",
      "title": "Compute Forward Graph Fourier Transform",
      "topics": [
        "forward_gft"
      ]
    },
    {
      "page": "forward_sgwt",
      "title": "Compute Forward Spectral Graph Wavelet Transform",
      "topics": [
        "forward_sgwt"
      ]
    },
    {
      "page": "full",
      "title": "Conversion of Symmetric Sparse Matrix to Full Matrix",
      "topics": [
        "full"
      ]
    },
    {
      "page": "fullup",
      "title": "Convert Symmetric Sparse Matrix to Full Matrix",
      "topics": [
        "fullup"
      ]
    },
    {
      "page": "get_graph_info",
      "title": "Retrieve Information Tables about a Specific Graph from the SuiteSparse Matrix Collection",
      "topics": [
        "get_graph_info"
      ]
    },
    {
      "page": "grid1",
      "title": "Grid1 Graph from AG-Monien Graph Collection",
      "topics": [
        "grid1"
      ]
    },
    {
      "page": "GVN",
      "title": "Graph Von Neumann Variance Estimator",
      "topics": [
        "GVN"
      ]
    },
    {
      "page": "HPFVN",
      "title": "High Pass Filter Von Neumann Estimator",
      "topics": [
        "HPFVN"
      ]
    },
    {
      "page": "inverse_gft",
      "title": "Compute Inverse Graph Fourier Transform",
      "topics": [
        "inverse_gft"
      ]
    },
    {
      "page": "inverse_sgwt",
      "title": "Compute Inverse Spectral Graph Wavelet Transform",
      "topics": [
        "inverse_sgwt"
      ]
    },
    {
      "page": "laplacian_mat",
      "title": "Compute the Graph Laplacian Matrix",
      "topics": [
        "laplacian_mat"
      ]
    },
    {
      "page": "LD_SUREthresh",
      "title": "Level Dependent Stein's Unbiased Risk Estimate Thresholding",
      "topics": [
        "LD_SUREthresh"
      ]
    },
    {
      "page": "localize_gft",
      "title": "Localize Kernel at a Graph Vertex Using GFT",
      "topics": [
        "localize_gft"
      ]
    },
    {
      "page": "localize_sgwt",
      "title": "Localize a Kernel at a Specific Vertex using SGWT",
      "topics": [
        "localize_sgwt"
      ]
    },
    {
      "page": "minnesota",
      "title": "Minnesota Road Network",
      "topics": [
        "minnesota"
      ]
    },
    {
      "page": "NYCdata",
      "title": "NYC Taxi Network Dataset",
      "topics": [
        "NYCdata"
      ]
    },
    {
      "page": "pittsburgh",
      "title": "Pittsburgh Census Tracts Network.",
      "topics": [
        "pittsburgh"
      ]
    },
    {
      "page": "plot_filter",
      "title": "Plot Tight-Frame Filters",
      "topics": [
        "plot_filter"
      ]
    },
    {
      "page": "plot_graph",
      "title": "Plot Graph",
      "topics": [
        "plot_graph"
      ]
    },
    {
      "page": "plot_signal",
      "title": "Plot a Signal on Top of a Given Graph",
      "topics": [
        "plot_signal"
      ]
    },
    {
      "page": "PSNR",
      "title": "Compute the Peak Signal to Noise Ratio",
      "topics": [
        "PSNR"
      ]
    },
    {
      "page": "randsignal",
      "title": "Generate Random Signal with Varying Regularity",
      "topics": [
        "randsignal"
      ]
    },
    {
      "page": "rlogo",
      "title": "R logo graph.",
      "topics": [
        "rlogo"
      ]
    },
    {
      "page": "smoothmodulus",
      "title": "Modulus of Smoothness for Graph Signal",
      "topics": [
        "smoothmodulus"
      ]
    },
    {
      "page": "SNR",
      "title": "Compute the Signal to Noise Ratio",
      "topics": [
        "SNR"
      ]
    },
    {
      "page": "spectral_coords",
      "title": "Spectral Coordinates for Graph Drawing",
      "topics": [
        "spectral_coords"
      ]
    },
    {
      "page": "SuiteSparseData",
      "title": "Matrix Data from SuiteSparse Matrix Collection",
      "topics": [
        "SuiteSparseData"
      ]
    },
    {
      "page": "SURE_MSEthresh",
      "title": "Stein's Unbiased Risk Estimate with MSE",
      "topics": [
        "SURE_MSEthresh"
      ]
    },
    {
      "page": "SUREthresh",
      "title": "Stein's Unbiased Risk Estimate",
      "topics": [
        "SUREthresh"
      ]
    },
    {
      "page": "swissroll",
      "title": "Swiss Roll Graph Generation",
      "topics": [
        "swissroll"
      ]
    },
    {
      "page": "synthesis",
      "title": "Compute the Synthesis Operator for Transform Coefficients",
      "topics": [
        "synthesis"
      ]
    },
    {
      "page": "tight_frame",
      "title": "Tight-Frame Computation",
      "topics": [
        "tight_frame"
      ]
    },
    {
      "page": "zetav",
      "title": "Evaluate Localized Tight-Frame Filter Functions",
      "topics": [
        "zetav"
      ]
    }
  ],
  "_rundeps": [
    "askpass",
    "cli",
    "cpp11",
    "curl",
    "farver",
    "ggplot2",
    "glue",
    "gtable",
    "httr",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "Matrix",
    "mime",
    "openssl",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "rlang",
    "RSpectra",
    "S7",
    "scales",
    "sys",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "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": "gasper_vignette.rmd",
      "filename": "gasper_vignette.pdf",
      "title": "Gasper: GrAph Signal ProcEssing in R",
      "author": "Basile de Loynes, Fabien Navarro, Baptiste Olivier",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Graphs Collection and Visualization",
        "A Short Introduction to Graph Signal Processing",
        "Data-Driven Graph Signal Denoising"
      ],
      "created": "2020-08-03 07:40:02",
      "modified": "2024-02-29 02:30:36",
      "commits": 7
    }
  ],
  "_score": 2.6627578316815743,
  "_indexed": false,
  "_nocasepkg": "gasper",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://fabnavarro.r-universe.dev/gasper",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.6",
      "date": "2026-06-12T10:32:37.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
      "fileid": "fed9a2c1bba1c619f1680c08622a02ab93f19602d23f7fb526d1a6ee4ea14b3b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27409961234"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.6",
      "date": "2026-06-12T10:32:20.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
      "fileid": "42a6d5fd51d4d68d0f14b91d06740622fd8c742ffa60cb7613957ae15a9d9a4c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27409961234"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.1.6",
      "date": "2026-06-12T10:32:14.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
      "fileid": "ff2ce5f9cfe565e1ff77716f18627c2b470989b4dbaa6d72e222f02e1d00be20",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27409961234"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.1.6",
      "date": "2026-06-12T10:35:07.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
      "fileid": "91b23b3cfcf0487bb35c09d2671a607f72f121999e0cf5f2d97b1608154f9e4c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27409961234"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.6",
      "date": "2026-06-12T10:32:26.000Z",
      "arch": "emscripten",
      "commit": "bde52b6c8419fdc83f7566aed6828d0ec66786e0",
      "fileid": "d922287217a8df3d15977e4d4bdb660e58bf4a8a92ffa8e58a8d851849146afc",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27409961234"
    }
  ]
}