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  "Package": "Saqrlab",
  "Title": "Simulation and Analysis for Temporal Network Analysis",
  "Version": "0.4.1",
  "Authors@R": "person(\"Mohammed\", \"Saqr\", email = \"saqr@saqr.me\", role = c(\"aut\", \"cre\"))",
  "Description": "Simulation tools for temporal network analysis (TNA)\nresearch. Generates synthetic datasets with known ground-truth\nparameters for testing and validating statistical methods:\nMarkov chain sequences, latent profiles, latent classes,\nregression, factor analysis, and sequence cluster structures.\nAll simulation functions return list(data, params) for\nJSON-serializable access to ground-truth parameters.",
  "License": "MIT + file LICENSE",
  "URL": "https://mohsaqr.github.io/Saqrlab/,\nhttps://github.com/mohsaqr/Saqrlab",
  "BugReports": "https://github.com/mohsaqr/Saqrlab/issues",
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  "Repository": "https://mohsaqr.r-universe.dev",
  "Date/Publication": "2026-10-08 18:38:18 UTC",
  "RemoteUrl": "https://github.com/mohsaqr/Saqrlab",
  "RemoteRef": "HEAD",
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  "Author": "Mohammed Saqr [aut, cre]",
  "Maintainer": "Mohammed Saqr <saqr@saqr.me>",
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  "_created": "2026-10-08T22:22:19.000Z",
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  "_exports": [
    "analyze_grid_results",
    "batch_apply",
    "batch_fit_models",
    "calculate_edge_recovery",
    "compare_centralities",
    "compare_edge_recovery",
    "compare_estimation",
    "compare_network_estimation",
    "compare_networks",
    "compare_reliability",
    "compare_tna_models",
    "create_param_grid",
    "cross_validate_tna",
    "evaluate_bootstrap",
    "export_simulation",
    "fit_network_model",
    "generate_group_tna_networks",
    "generate_param_grid",
    "generate_probabilities",
    "generate_sequence_data",
    "generate_tna_datasets",
    "generate_tna_matrix",
    "generate_tna_networks",
    "get_global_names",
    "get_learning_states",
    "get_scenario",
    "GLOBAL_NAMES",
    "GROUP_REGULATION_ACTIONS",
    "inject_missingness",
    "LEARNING_STATES",
    "list_learning_categories",
    "list_name_regions",
    "list_scenarios",
    "list_simulators",
    "plot_network_estimation",
    "plot_sampling_distribution",
    "plot_tna_comparison",
    "run_bootstrap_iteration",
    "run_bootstrap_simulation",
    "run_grid_simulation",
    "run_network_simulation",
    "run_sampling_analysis",
    "run_scenario",
    "sample_tna",
    "saqr_sim",
    "select_states",
    "simulate",
    "simulate_anova",
    "simulate_clusters",
    "simulate_correlation",
    "simulate_data",
    "simulate_edge_list",
    "simulate_fa",
    "simulate_group_tna_networks",
    "simulate_growth",
    "simulate_hmm",
    "simulate_htna",
    "simulate_igraph",
    "simulate_irt",
    "simulate_lca",
    "simulate_long_data",
    "simulate_longitudinal",
    "simulate_lpa",
    "simulate_matrix",
    "simulate_mlm",
    "simulate_mlna",
    "simulate_mtna",
    "simulate_network",
    "simulate_onehot_data",
    "simulate_prediction",
    "simulate_regression",
    "simulate_seq_clusters",
    "simulate_sequences",
    "simulate_sequences_advanced",
    "simulate_survival",
    "simulate_tna_datasets",
    "simulate_tna_matrix",
    "simulate_tna_network",
    "simulate_tna_networks",
    "simulate_ttest",
    "smart_select_states",
    "summarize_grid_results",
    "summarize_networks",
    "summarize_simulation",
    "tidy_simulation_results",
    "validate_recovery",
    "validate_sim_params"
  ],
  "_help": [
    {
      "page": "batch_apply",
      "title": "Apply Function to Multiple Models or Datasets",
      "topics": [
        "batch_apply"
      ]
    },
    {
      "page": "batch_fit_models",
      "title": "Fit Models to Multiple Datasets",
      "topics": [
        "batch_fit_models"
      ]
    },
    {
      "page": "compare_centralities",
      "title": "Compare Centrality Profiles",
      "topics": [
        "compare_centralities"
      ]
    },
    {
      "page": "compare_edge_recovery",
      "title": "Calculate Edge Recovery Metrics",
      "topics": [
        "calculate_edge_recovery",
        "compare_edge_recovery"
      ]
    },
    {
      "page": "compare_estimation",
      "title": "Compare Model Estimation Across Simulations",
      "topics": [
        "compare_estimation"
      ]
    },
    {
      "page": "compare_network_estimation",
      "title": "Compare Network Estimation Across TNA Model Types",
      "topics": [
        "compare_network_estimation",
        "compare_tna_models"
      ]
    },
    {
      "page": "compare_networks",
      "title": "Compare Two TNA Networks",
      "topics": [
        "compare_networks"
      ]
    },
    {
      "page": "compare_reliability",
      "title": "Compare Reliability Across Data Conditions",
      "topics": [
        "compare_reliability"
      ]
    },
    {
      "page": "cross_validate_tna",
      "title": "Cross-Validate TNA Model Types",
      "topics": [
        "cross_validate_tna"
      ]
    },
    {
      "page": "export_simulation",
      "title": "Export Simulation Results to CSV",
      "topics": [
        "export_simulation"
      ]
    },
    {
      "page": "fit_network_model",
      "title": "Fit a Temporal Network Analysis Model",
      "topics": [
        "fit_network_model"
      ]
    },
    {
      "page": "generate_param_grid",
      "title": "Generate Parameter Grid for Simulations",
      "topics": [
        "create_param_grid",
        "generate_param_grid"
      ]
    },
    {
      "page": "generate_probabilities",
      "title": "Generate Transition and Initial Probabilities",
      "topics": [
        "generate_probabilities"
      ]
    },
    {
      "page": "get_global_names",
      "title": "Get Global Names",
      "topics": [
        "get_global_names"
      ]
    },
    {
      "page": "get_learning_states",
      "title": "Get Learning State Verbs",
      "topics": [
        "get_learning_states"
      ]
    },
    {
      "page": "get_scenario",
      "title": "Get a Scenario Recipe",
      "topics": [
        "get_scenario"
      ]
    },
    {
      "page": "GLOBAL_NAMES",
      "title": "Global Names Dataset",
      "topics": [
        "GLOBAL_NAMES"
      ]
    },
    {
      "page": "GROUP_REGULATION_ACTIONS",
      "title": "Group Regulation Actions",
      "topics": [
        "GROUP_REGULATION_ACTIONS"
      ]
    },
    {
      "page": "inject_missingness",
      "title": "Inject Missing Values Under a Known Mechanism (MCAR / MAR / MNAR)",
      "topics": [
        "inject_missingness"
      ]
    },
    {
      "page": "learning_states",
      "title": "Learning State Verbs for TNA Simulation",
      "topics": [
        "LEARNING_STATES",
        "learning_states"
      ]
    },
    {
      "page": "list_learning_categories",
      "title": "Get Learning State Categories Summary",
      "topics": [
        "list_learning_categories"
      ]
    },
    {
      "page": "list_name_regions",
      "title": "List Available Name Regions",
      "topics": [
        "list_name_regions"
      ]
    },
    {
      "page": "list_scenarios",
      "title": "List Available Scenario Presets",
      "topics": [
        "list_scenarios"
      ]
    },
    {
      "page": "list_simulators",
      "title": "List Available Simulators",
      "topics": [
        "list_simulators"
      ]
    },
    {
      "page": "plot_network_estimation",
      "title": "Plot Network Estimation Results",
      "topics": [
        "plot_network_estimation"
      ]
    },
    {
      "page": "plot_sampling_distribution",
      "title": "Plot Sampling Distribution for a Single Metric",
      "topics": [
        "plot_sampling_distribution"
      ]
    },
    {
      "page": "plot_tna_comparison",
      "title": "Plot TNA Model Comparison Results",
      "topics": [
        "plot_tna_comparison"
      ]
    },
    {
      "page": "plot.network_estimation",
      "title": "Plot Network Estimation Comparison Results",
      "topics": [
        "plot.network_estimation"
      ]
    },
    {
      "page": "plot.tna_reliability_comparison",
      "title": "Plot Method for TNA Reliability Comparison",
      "topics": [
        "plot.tna_reliability_comparison"
      ]
    },
    {
      "page": "print.network_estimation",
      "title": "Print Network Estimation Results",
      "topics": [
        "print.network_estimation"
      ]
    },
    {
      "page": "print.tna_reliability_comparison",
      "title": "Print Method for TNA Reliability Comparison",
      "topics": [
        "print.tna_reliability_comparison"
      ]
    },
    {
      "page": "run_bootstrap_iteration",
      "title": "Run Bootstrap Iteration for a Single Simulation Run",
      "topics": [
        "evaluate_bootstrap",
        "run_bootstrap_iteration"
      ]
    },
    {
      "page": "run_bootstrap_simulation",
      "title": "Run Bootstrap Simulation Across Multiple Runs",
      "topics": [
        "run_bootstrap_simulation"
      ]
    },
    {
      "page": "run_grid_simulation",
      "title": "Run Grid Search Over Simulation Parameters",
      "topics": [
        "run_grid_simulation"
      ]
    },
    {
      "page": "run_network_simulation",
      "title": "Run Network Analysis Simulations",
      "topics": [
        "run_network_simulation"
      ]
    },
    {
      "page": "run_sampling_analysis",
      "title": "Run Sampling Analysis on TNA Models",
      "topics": [
        "run_sampling_analysis"
      ]
    },
    {
      "page": "run_scenario",
      "title": "Run a Whole Scenario",
      "topics": [
        "run_scenario"
      ]
    },
    {
      "page": "sample_tna",
      "title": "Sample and Re-estimate TNA Model",
      "topics": [
        "sample_tna"
      ]
    },
    {
      "page": "select_states",
      "title": "Select States for Networks",
      "topics": [
        "select_states",
        "smart_select_states"
      ]
    },
    {
      "page": "simulate",
      "title": "Simulate Data via a Unified Dispatcher",
      "topics": [
        "simulate"
      ]
    },
    {
      "page": "simulate_anova",
      "title": "Simulate Multi-Group Comparison Data (ANOVA)",
      "topics": [
        "simulate_anova"
      ]
    },
    {
      "page": "simulate_clusters",
      "title": "Simulate Cluster Data with Known Centers",
      "topics": [
        "simulate_clusters"
      ]
    },
    {
      "page": "simulate_correlation",
      "title": "Simulate Correlated Multivariate Data",
      "topics": [
        "simulate_correlation"
      ]
    },
    {
      "page": "simulate_data",
      "title": "Simulate Ready-to-Use Statistical Datasets",
      "topics": [
        "simulate_data"
      ]
    },
    {
      "page": "simulate_edge_list",
      "title": "Simulate Social Network Edge List",
      "topics": [
        "simulate_edge_list"
      ]
    },
    {
      "page": "simulate_fa",
      "title": "Simulate Factor Analysis Data with Known Parameters",
      "topics": [
        "simulate_fa"
      ]
    },
    {
      "page": "simulate_group_tna_networks",
      "title": "Simulate Group TNA Network Objects",
      "topics": [
        "generate_group_tna_networks",
        "simulate_group_tna_networks"
      ]
    },
    {
      "page": "simulate_growth",
      "title": "Simulate Latent Growth-Curve Data",
      "topics": [
        "simulate_growth"
      ]
    },
    {
      "page": "simulate_hmm",
      "title": "Simulate Hidden Markov Model Sequences",
      "topics": [
        "simulate_hmm"
      ]
    },
    {
      "page": "simulate_htna",
      "title": "Simulate HTNA/MLNA/MTNA Matrix with Node Types",
      "topics": [
        "simulate_htna",
        "simulate_mlna",
        "simulate_mtna"
      ]
    },
    {
      "page": "simulate_igraph",
      "title": "Simulate igraph Network Object",
      "topics": [
        "simulate_igraph"
      ]
    },
    {
      "page": "simulate_irt",
      "title": "Simulate Item Response Theory (IRT) Data",
      "topics": [
        "simulate_irt"
      ]
    },
    {
      "page": "simulate_lca",
      "title": "Simulate Latent Class Analysis Data",
      "topics": [
        "simulate_lca"
      ]
    },
    {
      "page": "simulate_long_data",
      "title": "Simulate Long Format Sequence Data",
      "topics": [
        "simulate_long_data"
      ]
    },
    {
      "page": "simulate_longitudinal",
      "title": "Simulate Longitudinal Panel Data",
      "topics": [
        "simulate_longitudinal"
      ]
    },
    {
      "page": "simulate_lpa",
      "title": "Simulate Latent Profile Analysis Data",
      "topics": [
        "simulate_lpa"
      ]
    },
    {
      "page": "simulate_matrix",
      "title": "Simulate Network Matrix",
      "topics": [
        "simulate_matrix"
      ]
    },
    {
      "page": "simulate_mlm",
      "title": "Simulate Two-Level Multilevel (Hierarchical) Data",
      "topics": [
        "simulate_mlm"
      ]
    },
    {
      "page": "simulate_network",
      "title": "Simulate statnet Network Object",
      "topics": [
        "simulate_network"
      ]
    },
    {
      "page": "simulate_onehot_data",
      "title": "Simulate One-Hot Encoded Sequence Data",
      "topics": [
        "simulate_onehot_data"
      ]
    },
    {
      "page": "simulate_prediction",
      "title": "Simulate Prediction/Regression Data with Known Coefficients",
      "topics": [
        "simulate_prediction"
      ]
    },
    {
      "page": "simulate_regression",
      "title": "Simulate Linear Regression Data with Known Coefficients",
      "topics": [
        "simulate_regression"
      ]
    },
    {
      "page": "simulate_seq_clusters",
      "title": "Simulate Sequence Data with Known Cluster Structure",
      "topics": [
        "simulate_seq_clusters"
      ]
    },
    {
      "page": "simulate_sequences",
      "title": "Simulate Markov Chain Sequences (Basic)",
      "topics": [
        "simulate_sequences"
      ]
    },
    {
      "page": "simulate_sequences_advanced",
      "title": "Simulate Markov Chain Sequences (Advanced)",
      "topics": [
        "simulate_sequences_advanced"
      ]
    },
    {
      "page": "simulate_survival",
      "title": "Simulate Survival Data (Cox Proportional Hazards)",
      "topics": [
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