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  "Title": "Distributed Sampling for Dynamic Regression Models",
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  "Description": "A toolbox for distributed dynamic regression modeling,\nparallel estimation, multiple distributed sampling algorithms\n(Metropolis-Hastings, block bootstrap, adaptive,\nhypergeometric), sparse matrix optimization, model\nvisualization, prediction and performance evaluation.  The\nphilosophy of the package is described in Guo (2025)\n<doi:10.1038/s41598-025-93333-6>.",
  "License": "Apache License 2.0",
  "Encoding": "UTF-8",
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  "Author": "Guangbao Guo [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4115-6218>)",
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  "Language": "en-US",
  "Packaged": {
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    "User": "root"
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  "Date/Publication": "2026-07-10 19:30:02 UTC",
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    "block_data_split",
    "calc_metrics",
    "dist_parallel_estimate",
    "dist_qn_algorithm",
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    "global_posterior_gamma",
    "global_quasi_ll",
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    "init_gamma",
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    "local_quasi_ll",
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    "parallel_estimate",
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    "run_batch_simulation",
    "run_batch_simulation_with_time",
    "sparse_matrix_optim",
    "static_dist_with_time",
    "static_distributed_estimator"
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      "page": "adaptive_block_len",
      "title": "Compute Adaptive Block Length",
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      "title": "Split Time Series Data into Distributed Blocks",
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      ]
    },
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      "title": "Simulation Evaluation Metrics: MSE, MAE, R2, and Model Selection Accuracy",
      "topics": [
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      ]
    },
    {
      "page": "dist_parallel_estimate",
      "title": "Fully Distributed Parallel Estimation",
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      ]
    },
    {
      "page": "dist_qn_algorithm",
      "title": "Distributed Quasi-Newton Iteration Main Algorithm",
      "topics": [
        "dist_qn_algorithm"
      ]
    },
    {
      "page": "dist_qn_with_time",
      "title": "DSDRM Algorithm with Computation Time Tracking",
      "topics": [
        "dist_qn_with_time"
      ]
    },
    {
      "page": "dsdrm_fit",
      "title": "DSDRM Model Fitting (Main Interface)",
      "topics": [
        "dsdrm_fit"
      ]
    },
    {
      "page": "dsdrm_generate_data",
      "title": "Generate Time-Varying Distributed Dynamic Regression Data",
      "topics": [
        "dsdrm_generate_data"
      ]
    },
    {
      "page": "dsdrm_metrics",
      "title": "DSDRM Comprehensive Performance Metrics",
      "topics": [
        "dsdrm_metrics"
      ]
    },
    {
      "page": "dsdrm_predict",
      "title": "Out-of-Sample Prediction for DSDRM",
      "topics": [
        "dsdrm_predict"
      ]
    },
    {
      "page": "dsdrm_sampling",
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      "topics": [
        "dsdrm_sampling"
      ]
    },
    {
      "page": "dynamic_coef_plot",
      "title": "Dynamic Coefficient Path Plot",
      "topics": [
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      ]
    },
    {
      "page": "dynamic_opt_omega",
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        "global_mcmc_with_time"
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    },
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      ]
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