{
  "_id": "6a4796b62f27a93436c0ee02",
  "Package": "gmvarkit",
  "Title": "Estimate Gaussian and Student's t Mixture Vector Autoregressive\nModels",
  "Version": "2.2.1",
  "Authors@R": "person(\"Savi\", \"Virolainen\",\nemail = \"savi.virolainen@helsinki.fi\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"https://orcid.org/0000-0002-5075-6821\"))",
  "Author": "Savi Virolainen [aut, cre]\n(<https://orcid.org/0000-0002-5075-6821>)",
  "Maintainer": "Savi Virolainen <savi.virolainen@helsinki.fi>",
  "Description": "Unconstrained and constrained maximum likelihood\nestimation of structural and reduced form Gaussian mixture\nvector autoregressive, Student's t mixture vector\nautoregressive, and Gaussian and Student's t mixture vector\nautoregressive models, quantile residual tests, graphical\ndiagnostics, simulations, forecasting, and estimation of\ngeneralized impulse response function and generalized forecast\nerror variance decomposition. Leena Kalliovirta, Mika Meitz,\nPentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>,\nSavi Virolainen (2025) <doi:10.1080/07350015.2024.2322090>,\nSavi Virolainen (in press) <doi:10.1016/j.ecosta.2025.09.003>.",
  "BugReports": "https://github.com/saviviro/gmvarkit/issues",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.3.2",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-03 06:51:20 UTC",
    "User": "root"
  },
  "Config/pak/sysreqs": "libgsl0-dev",
  "Repository": "https://saviviro.r-universe.dev",
  "Date/Publication": "2025-10-06 15:45:28 UTC",
  "RemoteUrl": "https://github.com/saviviro/gmvarkit",
  "RemoteRef": "HEAD",
  "RemoteSha": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
  "_user": "saviviro",
  "_type": "src",
  "_file": "gmvarkit_2.2.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/8a5491c32bec05600bdf6de18f5dfe03a10eb1b16c62dec6ffeb495fab9b7566",
  "_filesize": 1761068,
  "_sha256": "8a5491c32bec05600bdf6de18f5dfe03a10eb1b16c62dec6ffeb495fab9b7566",
  "_expires": "2026-10-11T11:02:14.000Z",
  "_created": "2026-07-03T06:51:20.000Z",
  "_published": "2026-07-03T11:02:14.727Z",
  "_jobs": [
    {
      "job": 84986132352,
      "time": 406,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8059848773"
    },
    {
      "job": 84986132420,
      "time": 373,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8059838453"
    },
    {
      "job": 84986132441,
      "time": 297,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8059806465"
    },
    {
      "job": 84986132434,
      "time": 313,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8059811179"
    },
    {
      "job": 84986131684,
      "time": 202,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8059733066"
    },
    {
      "job": 84986132346,
      "time": 153,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "8059777058"
    },
    {
      "job": 84986132389,
      "time": 239,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8059801766"
    },
    {
      "job": 84986132143,
      "time": 252,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8059804532"
    },
    {
      "job": 84986132551,
      "time": 244,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8059802288"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533",
  "_status": "success",
  "_upstream": "https://github.com/saviviro/gmvarkit",
  "_commit": {
    "id": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
    "author": "saviviro <43138478+saviviro@users.noreply.github.com>",
    "committer": "saviviro <43138478+saviviro@users.noreply.github.com>",
    "message": "misc\n",
    "time": 1759765528
  },
  "_maintainer": {
    "name": "Savi Virolainen",
    "email": "savi.virolainen@helsinki.fi",
    "login": "saviviro",
    "orcid": "0000-0002-5075-6821",
    "description": "",
    "uuid": 43138478
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.6.0",
      "role": "Depends"
    },
    {
      "package": "Brobdingnag",
      "version": ">= 1.2-4",
      "role": "Imports"
    },
    {
      "package": "mvnfast",
      "version": ">= 0.2.5",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "pbapply",
      "version": ">= 1.4-2",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "gsl",
      "version": ">= 2.1-6",
      "role": "Imports"
    },
    {
      "package": "methods",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "saviviro",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-41",
      "n": 2
    }
  ],
  "_tags": [],
  "_stars": 3,
  "_contributors": [
    {
      "user": "saviviro",
      "count": 493,
      "uuid": 43138478
    }
  ],
  "_userbio": {
    "uuid": 43138478,
    "type": "user",
    "name": "Savi Virolainen",
    "followers": 10
  },
  "_downloads": {
    "count": 536,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gmvarkit"
  },
  "_devurl": "https://github.com/saviviro/gmvarkit",
  "_searchresults": 41,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/gmvarkit.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/saviviro/gmvarkit",
  "_realowner": "saviviro",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2018-07-28"
    },
    {
      "version": "1.0.1",
      "date": "2018-08-13"
    },
    {
      "version": "1.0.2",
      "date": "2018-08-24"
    },
    {
      "version": "1.0.3",
      "date": "2018-09-22"
    },
    {
      "version": "1.1.0",
      "date": "2019-07-04"
    },
    {
      "version": "1.1.1",
      "date": "2019-08-28"
    },
    {
      "version": "1.1.2",
      "date": "2020-01-21"
    },
    {
      "version": "1.1.3",
      "date": "2020-03-12"
    },
    {
      "version": "1.2.0",
      "date": "2020-08-24"
    },
    {
      "version": "1.2.1",
      "date": "2020-08-28"
    },
    {
      "version": "1.2.2",
      "date": "2020-10-05"
    },
    {
      "version": "1.2.3",
      "date": "2020-11-03"
    },
    {
      "version": "1.3.0",
      "date": "2020-12-16"
    },
    {
      "version": "1.3.1",
      "date": "2020-12-16"
    },
    {
      "version": "1.4.0",
      "date": "2021-01-11"
    },
    {
      "version": "1.4.1",
      "date": "2021-01-27"
    },
    {
      "version": "1.4.2",
      "date": "2021-05-12"
    },
    {
      "version": "1.5.0",
      "date": "2021-09-17"
    },
    {
      "version": "2.0.0",
      "date": "2021-11-22"
    },
    {
      "version": "2.0.1",
      "date": "2021-12-14"
    },
    {
      "version": "2.0.2",
      "date": "2022-01-18"
    },
    {
      "version": "2.0.3",
      "date": "2022-04-20"
    },
    {
      "version": "2.0.4",
      "date": "2022-06-03"
    },
    {
      "version": "2.0.5",
      "date": "2022-08-19"
    },
    {
      "version": "2.0.6",
      "date": "2023-02-15"
    },
    {
      "version": "2.0.7",
      "date": "2023-06-09"
    },
    {
      "version": "2.0.8",
      "date": "2023-06-12"
    },
    {
      "version": "2.0.10",
      "date": "2023-08-19"
    },
    {
      "version": "2.1.0",
      "date": "2023-11-14"
    },
    {
      "version": "2.1.1",
      "date": "2024-01-22"
    },
    {
      "version": "2.1.2",
      "date": "2024-02-29"
    },
    {
      "version": "2.1.3",
      "date": "2024-12-04"
    },
    {
      "version": "2.1.4",
      "date": "2025-01-08"
    },
    {
      "version": "2.2.0",
      "date": "2025-06-19"
    },
    {
      "version": "2.2.1",
      "date": "2025-10-06"
    }
  ],
  "_exports": [
    "add_data",
    "alt_gsmvar",
    "calc_gradient",
    "calc_hessian",
    "check_parameters",
    "cond_moment_plot",
    "cond_moments",
    "diag_Omegas",
    "diagnostic_plot",
    "estimate_sgsmvar",
    "fitGSMVAR",
    "GAfit",
    "get_boldA_eigens",
    "get_foc",
    "get_gradient",
    "get_hessian",
    "get_omega_eigens",
    "get_regime_autocovs",
    "get_regime_means",
    "get_soc",
    "GFEVD",
    "GIRF",
    "gmvar_to_gsmvar",
    "GSMVAR",
    "gsmvar_to_sgsmvar",
    "in_paramspace",
    "iterate_more",
    "linear_IRF",
    "loglikelihood",
    "LR_test",
    "Pearson_residuals",
    "print_std_errors",
    "profile_logliks",
    "quantile_residual_tests",
    "quantile_residuals",
    "Rao_test",
    "redecompose_Omegas",
    "reorder_W_columns",
    "stmvar_to_gstmvar",
    "swap_parametrization",
    "swap_W_signs",
    "uncond_moments",
    "update_numtols",
    "Wald_test"
  ],
  "_datasets": [
    {
      "name": "euromone",
      "title": "Euro area macroeconomic data used in Virolainen (in press)",
      "object": "euromone",
      "class": [
        "mts",
        "ts",
        "matrix"
      ],
      "fields": [
        "IPI",
        "HCPI",
        "OIL",
        "RATE"
      ],
      "rows": 276,
      "table": true,
      "tojson": true
    },
    {
      "name": "gdpdef",
      "title": "U.S. real GDP percent change and GDP implicit price deflator percent change.",
      "object": "gdpdef",
      "class": [
        "mts",
        "ts",
        "matrix"
      ],
      "fields": [
        "GDP",
        "GDPDEF"
      ],
      "rows": 244,
      "table": true,
      "tojson": true
    },
    {
      "name": "usamon",
      "title": "U.S. macroeconomic data used in Virolainen (2025)",
      "object": "usamon",
      "class": [
        "mts",
        "ts",
        "matrix"
      ],
      "fields": [
        "GDP",
        "GDPDEF",
        "PPI",
        "RATE"
      ],
      "rows": 270,
      "table": true,
      "tojson": true
    },
    {
      "name": "usamone",
      "title": "U.S. macroeconomic data",
      "object": "usamone",
      "class": [
        "mts",
        "ts",
        "matrix"
      ],
      "fields": [
        "GDP",
        "GDPDEF",
        "PPI",
        "RATE"
      ],
      "rows": 270,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "gmvarkit-package",
      "title": "gmvarkit: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models",
      "topics": [
        "gmvarkit-package",
        "gmvarkit"
      ]
    },
    {
      "page": "add_data",
      "title": "Add data to an object of class 'gsmvar' defining a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "add_data"
      ]
    },
    {
      "page": "alt_gsmvar",
      "title": "Construct a GMVAR, StMVAR, or G-StMVAR model based on results from an arbitrary estimation round of 'fitGSMVAR'",
      "topics": [
        "alt_gsmvar"
      ]
    },
    {
      "page": "calc_gradient",
      "title": "Calculate gradient or Hessian matrix",
      "topics": [
        "calc_gradient",
        "calc_hessian",
        "get_foc",
        "get_gradient",
        "get_hessian",
        "get_soc"
      ]
    },
    {
      "page": "check_parameters",
      "title": "Check that the given parameter vector satisfies the model assumptions",
      "topics": [
        "check_parameters"
      ]
    },
    {
      "page": "cond_moment_plot",
      "title": "Conditional mean or variance plot for a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "cond_moment_plot"
      ]
    },
    {
      "page": "cond_moments",
      "title": "Compute conditional moments of a GMVAR, StMVAR, or G-StMVAR model",
      "concept": [
        "moment functions"
      ],
      "topics": [
        "cond_moments"
      ]
    },
    {
      "page": "diag_Omegas",
      "title": "Simultaneously diagonalize two covariance matrices",
      "topics": [
        "diag_Omegas"
      ]
    },
    {
      "page": "diagnostic_plot",
      "title": "Quantile residual diagnostic plot for a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "diagnostic_plot"
      ]
    },
    {
      "page": "estimate_sgsmvar",
      "title": "Maximum likelihood estimation of a structural GMVAR, StMVAR, or G-StMVAR model with preliminary estimates",
      "topics": [
        "estimate_sgsmvar"
      ]
    },
    {
      "page": "euromone",
      "title": "Euro area macroeconomic data used in Virolainen (in press)",
      "topics": [
        "euromone"
      ]
    },
    {
      "page": "fitGSMVAR",
      "title": "Two-phase maximum likelihood estimation of a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "fitGSMVAR"
      ]
    },
    {
      "page": "GAfit",
      "title": "Genetic algorithm for preliminary estimation of a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "GAfit"
      ]
    },
    {
      "page": "gdpdef",
      "title": "U.S. real GDP percent change and GDP implicit price deflator percent change.",
      "topics": [
        "gdpdef"
      ]
    },
    {
      "page": "get_boldA_eigens",
      "title": "Calculate absolute values of the eigenvalues of the \"bold A\" matrices containing the AR coefficients",
      "topics": [
        "get_boldA_eigens"
      ]
    },
    {
      "page": "get_omega_eigens",
      "title": "Calculate the eigenvalues of the \"Omega\" error term covariance matrices",
      "topics": [
        "get_omega_eigens"
      ]
    },
    {
      "page": "get_regime_autocovs",
      "title": "Calculate regimewise autocovariance matrices",
      "concept": [
        "moment functions"
      ],
      "topics": [
        "get_regime_autocovs"
      ]
    },
    {
      "page": "get_regime_means",
      "title": "Calculate regime means mu_{m}",
      "concept": [
        "moment functions"
      ],
      "topics": [
        "get_regime_means"
      ]
    },
    {
      "page": "GFEVD",
      "title": "Estimate generalized forecast error variance decomposition for structural (and reduced form) GMVAR, StMVAR, and G-StMVAR models.",
      "topics": [
        "GFEVD",
        "plot.gfevd",
        "print.gfevd"
      ]
    },
    {
      "page": "GIRF",
      "title": "Estimate generalized impulse response function for structural (and reduced form) GMVAR, StMVAR, and G-StMVAR models.",
      "topics": [
        "GIRF",
        "plot.girf",
        "print.girf"
      ]
    },
    {
      "page": "gmvar_to_gsmvar",
      "title": "Makes the old class 'gmvar' objects compatible with the functions using class 'gsmvar' objects",
      "topics": [
        "gmvar_to_gsmvar"
      ]
    },
    {
      "page": "GSMVAR",
      "title": "Create a class 'gsmvar' object defining a reduced form or structural GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "GSMVAR",
        "logLik.gsmvar",
        "plot.gsmvar",
        "print.gsmvar",
        "residuals.gsmvar",
        "summary.gsmvar"
      ]
    },
    {
      "page": "gsmvar_to_sgsmvar",
      "title": "Switch from two-regime reduced form GMVAR, StMVAR, or G-StMVAR model to a structural model.",
      "topics": [
        "gsmvar_to_sgsmvar"
      ]
    },
    {
      "page": "in_paramspace",
      "title": "Determine whether the parameter vector lies in the parameter space",
      "topics": [
        "in_paramspace"
      ]
    },
    {
      "page": "in_paramspace_int",
      "title": "Determine whether the parameter vector lies in the parameter space",
      "topics": [
        "in_paramspace_int"
      ]
    },
    {
      "page": "iterate_more",
      "title": "Maximum likelihood estimation of a GMVAR, StMVAR, or G-StMVAR model with preliminary estimates",
      "topics": [
        "iterate_more"
      ]
    },
    {
      "page": "linear_IRF",
      "title": "Estimate linear impulse response function based on a single regime of a structural GMVAR, StMVAR, or G-StMVAR model.",
      "topics": [
        "linear_IRF",
        "plot.irf",
        "print.irf"
      ]
    },
    {
      "page": "loglikelihood",
      "title": "Compute log-likelihood of a GMVAR, StMVAR, or G-StMVAR model using parameter vector",
      "topics": [
        "loglikelihood"
      ]
    },
    {
      "page": "LR_test",
      "title": "Perform likelihood ratio test for a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "LR_test"
      ]
    },
    {
      "page": "Pearson_residuals",
      "title": "Calculate multivariate Pearson residuals of a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "Pearson_residuals"
      ]
    },
    {
      "page": "plot.gsmvarpred",
      "title": "plot method for class 'gsmvarpred' objects",
      "topics": [
        "plot.gsmvarpred"
      ]
    },
    {
      "page": "quantile_residual_tests",
      "title": "Quantile residual tests",
      "topics": [
        "plot.qrtest",
        "print.qrtest",
        "quantile_residual_tests"
      ]
    },
    {
      "page": "predict.gsmvar",
      "title": "Predict method for class 'gsmvar' objects",
      "topics": [
        "predict.gsmvar"
      ]
    },
    {
      "page": "print_std_errors",
      "title": "Print standard errors of a GMVAR, StMVAR, or G-StMVAR model in the same form as the model estimates are printed",
      "topics": [
        "print_std_errors"
      ]
    },
    {
      "page": "print.gsmvarpred",
      "title": "Print method for class 'gsmvarpred' objects",
      "topics": [
        "print.gsmvarpred"
      ]
    },
    {
      "page": "print.gsmvarsum",
      "title": "Summary print method from objects of class 'gsmvarsum'",
      "topics": [
        "print.gsmvarsum"
      ]
    },
    {
      "page": "print.hypotest",
      "title": "Print method for the class hypotest",
      "topics": [
        "print.hypotest"
      ]
    },
    {
      "page": "profile_logliks",
      "title": "Plot profile log-likehoods around the estimates",
      "topics": [
        "profile_logliks"
      ]
    },
    {
      "page": "quantile_residuals",
      "title": "Calculate multivariate quantile residuals of a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "quantile_residuals"
      ]
    },
    {
      "page": "random_ind2",
      "title": "Create somewhat random parameter vector of a GMVAR, StMVAR, or G-StMVAR model that is always stationary",
      "topics": [
        "random_ind2"
      ]
    },
    {
      "page": "Rao_test",
      "title": "Perform Rao's score test for a GSMVAR model",
      "topics": [
        "Rao_test"
      ]
    },
    {
      "page": "redecompose_Omegas",
      "title": "In the decomposition of the covariance matrices (Muirhead, 1982, Theorem A9.9), change the order of the covariance matrices.",
      "topics": [
        "redecompose_Omegas"
      ]
    },
    {
      "page": "reorder_W_columns",
      "title": "Reorder columns of the W-matrix and lambda parameters of a structural GMVAR, StMVAR, or G-StMVAR model.",
      "topics": [
        "reorder_W_columns"
      ]
    },
    {
      "page": "simulate.gsmvar",
      "title": "Simulate method for class 'gsmvar' objects",
      "topics": [
        "simulate.gsmvar"
      ]
    },
    {
      "page": "stmvar_to_gstmvar",
      "title": "Estimate a G-StMVAR model based on a StMVAR model that has large degrees of freedom parameters",
      "topics": [
        "stmvar_to_gstmvar"
      ]
    },
    {
      "page": "swap_parametrization",
      "title": "Swap the parametrization of a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "swap_parametrization"
      ]
    },
    {
      "page": "swap_W_signs",
      "title": "Swap all signs in pointed columns a the W matrix of a structural GMVAR, StMVAR, or G-StMVAR model.",
      "topics": [
        "swap_W_signs"
      ]
    },
    {
      "page": "uncond_moments",
      "title": "Calculate the unconditional mean, variance, the first p autocovariances, and the first p autocorrelations of a GMVAR, StMVAR, or G-StMVAR process",
      "concept": [
        "moment functions"
      ],
      "topics": [
        "uncond_moments"
      ]
    },
    {
      "page": "update_numtols",
      "title": "Update the stationarity and positive definiteness numerical tolerances of an existing class 'gsmvar' model.",
      "topics": [
        "update_numtols"
      ]
    },
    {
      "page": "usamon",
      "title": "U.S. macroeconomic data used in Virolainen (2025)",
      "topics": [
        "usamon"
      ]
    },
    {
      "page": "usamone",
      "title": "U.S. macroeconomic data",
      "topics": [
        "usamone"
      ]
    },
    {
      "page": "Wald_test",
      "title": "Perform Wald test for a GMVAR, StMVAR, or G-StMVAR model",
      "topics": [
        "Wald_test"
      ]
    }
  ],
  "_readme": "https://github.com/saviviro/gmvarkit/raw/HEAD/README.md",
  "_rundeps": [
    "BH",
    "Brobdingnag",
    "gsl",
    "lattice",
    "Matrix",
    "mvnfast",
    "pbapply",
    "Rcpp",
    "RcppArmadillo"
  ],
  "_vignettes": [
    {
      "source": "gmvarkit-vignette.Rnw",
      "filename": "gmvarkit-vignette.pdf",
      "title": "gmvarkit: A Family of Mixture Vector Autoregressive Models in R",
      "engine": "utils::Sweave",
      "headings": [
        "Introduction",
        "Introduction",
        "Models",
        "Models",
        "Estimation",
        "Estimation",
        "Quantile residual based model diagnostics",
        "Quantile residual based model diagnostics",
        "Impulse response analysis",
        "Impulse response analysis",
        "Building a GSMVAR model with specific parameter values",
        "Simulation and forecasting",
        "Simulation and forecasting",
        "Summary",
        "Summary",
        "Computational details",
        "A table of some useful functions",
        "References",
        "Properties of multivariate Gaussian and Student's t distribution",
        "Appendix A: Properties of multivariate Gaussian and Student's t distribution",
        "Quantile residuals of the G-StMVAR model",
        "Appendix B: Quantile residuals of the G-StMVAR model",
        "Monte Carlo algorithm for estimating the GIRF",
        "Appendix C: Monte Carlo algorithm for estimating the GIRF"
      ],
      "created": "2021-10-19 17:15:10",
      "modified": "2025-10-06 14:26:18",
      "commits": 43
    }
  ],
  "_score": 4.788875115775417,
  "_indexed": true,
  "_nocasepkg": "gmvarkit",
  "_universes": [
    "saviviro"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.2.1",
      "date": "2026-07-03T06:54:13.000Z",
      "distro": "resolute",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/4e9293c67e433e0a2574513af38096de868679cbd59c762d3e6d53e065cecd03",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "2.2.1",
      "date": "2026-07-03T06:53:52.000Z",
      "distro": "resolute",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/385f97ec939a980d74bbe1c9766eb7502a035ddfaad3e82bb01f8eef8c0fe1be",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.2.1",
      "date": "2026-07-03T06:54:11.000Z",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/b61aa50551ea00b4b00588b52a4d5324864aecb391dcf5c6f54d98736dbcf768",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "2.2.1",
      "date": "2026-07-03T06:54:12.000Z",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/94b5015cdf7cbda7116f4b1151a6fa25cdc18330d4c762a4c788ab2e25e8e7c7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.2.1",
      "date": "2026-07-03T06:54:21.000Z",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/9211000c79ae8e95dd5970839a5966b3fe0072b0175ff33cfb9f80f349611e6e",
      "status": "success",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.2.1",
      "date": "2026-07-03T06:53:08.000Z",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/e7ee8407b1529b6e4f433b545d72eeef70a5a16d5a7bdd683cce39876d48e83d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.2.1",
      "date": "2026-07-03T06:53:06.000Z",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/505094ebb2919096ea4aa00c56db902c05f7b5dca0cd81cc5fe3287eea9f8605",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "2.2.1",
      "date": "2026-07-03T06:53:10.000Z",
      "commit": "4fb4a8ee1a0b5ce7b3c3367815368505dc9bcce9",
      "fileid": "https://r2.ropensci.org/70f02be058db9f0fb9eba712e9e1e0cb4446b89d2082897a6768d8a07d000d8a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/saviviro/actions/runs/28643642533"
    }
  ]
}