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  "Package": "rumidas",
  "Title": "Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and\nMEM-MIDAS",
  "Version": "0.1.3",
  "Authors@R": "person(\"Vincenzo\", \"Candila\", email=\"vcandila@unisa.it\", role=c(\"aut\", \"cre\"))",
  "Description": "Adds the MIxing-Data Sampling (MIDAS, Ghysels et al.\n(2007) <doi:10.1080/07474930600972467>) components to a variety\nof GARCH and MEM (Engle (2002) <doi:10.1002/jae.683>, Engle and\nGallo (2006) <doi:10.1016/j.jeconom.2005.01.018>, and Amendola\net al. (2024) <doi:10.1016/j.seps.2023.101764>) models, with\nthe aim of predicting the volatility with additional\nlow-frequency (that is, MIDAS) terms. The estimation takes\nplace through simple functions, which provide in-sample and (if\npresent) and out-of-sample evaluations. 'rumidas' also offers a\nsummary tool, which synthesizes the main information of the\nestimated model. There is also the possibility of generating\none-step-ahead and multi-step-ahead forecasts.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Packaged": {
    "Date": "2026-05-24 08:32:15 UTC",
    "User": "root"
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  "Author": "Vincenzo Candila [aut, cre]",
  "Maintainer": "Vincenzo Candila <vcandila@unisa.it>",
  "Config/pak/sysreqs": "make libssl-dev",
  "Repository": "https://vincenzocandila.r-universe.dev",
  "Date/Publication": "2025-03-18 13:40:15 UTC",
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    "DAGM_2M_loglik_no_skew",
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    "DAGM_loglik",
    "DAGM_loglik_no_skew",
    "DAGM_long_run_vol",
    "DAGM_long_run_vol_no_skew",
    "DAGM_X_cond_vol",
    "DAGM_X_cond_vol_no_skew",
    "DAGM_X_loglik",
    "DAGM_X_loglik_no_skew",
    "DAGM_X_long_run_vol",
    "DAGM_X_long_run_vol_no_skew",
    "exp_almon",
    "GM_2M_cond_vol",
    "GM_2M_cond_vol_no_skew",
    "GM_2M_loglik",
    "GM_2M_loglik_no_skew",
    "GM_2M_long_run_vol",
    "GM_2M_long_run_vol_no_skew",
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    "GM_cond_vol_no_skew",
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    "GM_loglik_no_skew",
    "GM_long_run_vol",
    "GM_long_run_vol_no_skew",
    "GM_X_cond_vol",
    "GM_X_cond_vol_no_skew",
    "GM_X_loglik",
    "GM_X_loglik_no_skew",
    "GM_X_long_run_vol",
    "GM_X_long_run_vol_no_skew",
    "MEM_loglik",
    "MEM_loglik_no_skew",
    "MEM_MIDAS_loglik",
    "MEM_MIDAS_loglik_no_skew",
    "MEM_MIDAS_lr_pred",
    "MEM_MIDAS_lr_pred_no_skew",
    "MEM_MIDAS_pred",
    "MEM_MIDAS_pred_no_skew",
    "MEM_MIDAS_X_loglik",
    "MEM_MIDAS_X_loglik_no_skew",
    "MEM_MIDAS_X_lr_pred",
    "MEM_MIDAS_X_lr_pred_no_skew",
    "MEM_MIDAS_X_pred",
    "MEM_MIDAS_X_pred_no_skew",
    "MEM_pred",
    "MEM_pred_no_skew",
    "MEM_X_loglik",
    "MEM_X_loglik_no_skew",
    "MEM_X_pred",
    "MEM_X_pred_no_skew",
    "multi_step_ahead_pred",
    "mv_into_mat",
    "print.rumidas",
    "summary.rumidas",
    "ugmfit",
    "umemfit"
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      "title": "Monthly U.S. Industrial Production",
      "object": "indpro",
      "class": [
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        "zoo"
      ],
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      "topics": [
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    },
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      "topics": [
        "multi_step_ahead_pred"
      ]
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      "topics": [
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      "topics": [
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      "topics": [
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      "topics": [
        "summary.rumidas"
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      "page": "ugmfit",
      "title": "Methods for obtaining (and evaluating) a variety of GARCH-MIDAS-based models",
      "topics": [
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