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        "blockids.event_model"
      ]
    },
    {
      "page": "coef_image",
      "title": "Extract Image/Volume for Coefficient",
      "topics": [
        "coef_image",
        "coef_image.fmri_lm"
      ]
    },
    {
      "page": "coef_image.fmri_ttest_fit",
      "title": "Extract Coefficient Image from fmri_ttest_fit",
      "topics": [
        "coef_image.fmri_ttest_fit"
      ]
    },
    {
      "page": "coef_images",
      "title": "Extract Images/Volumes for Multiple Coefficients",
      "topics": [
        "coef_images",
        "coef_images.fmri_lm"
      ]
    },
    {
      "page": "coef_names",
      "title": "Get Available Coefficient Names",
      "concept": [
        "statistical_measures"
      ],
      "topics": [
        "coef_names",
        "coef_names.fmri_lm"
      ]
    },
    {
      "page": "coef.fmri_meta",
      "title": "Extract Coefficients from Meta-Analysis",
      "topics": [
        "coef.fmri_meta"
      ]
    },
    {
      "page": "columns",
      "title": "Extract Column Names or Identifiers",
      "topics": [
        "columns",
        "columns.event_model"
      ]
    },
    {
      "page": "compute_dvars",
      "title": "Compute DVARS (Temporal Derivative of Timecourses)",
      "topics": [
        "compute_dvars"
      ]
    },
    {
      "page": "compute_lm_contrasts",
      "title": "Compute linear model contrast statistics (public API)",
      "topics": [
        "compute_lm_contrasts"
      ]
    },
    {
      "page": "compute_lm_contrasts_from_suffstats",
      "title": "Compute contrast statistics from sufficient statistics (public API)",
      "topics": [
        "compute_lm_contrasts_from_suffstats"
      ]
    },
    {
      "page": "conditions",
      "title": "Visualize the entire design matrix as a heatmap",
      "topics": [
        "conditions.convolved_term"
      ]
    },
    {
      "page": "contrast",
      "title": "Contrast generic",
      "topics": [
        "contrast"
      ]
    },
    {
      "page": "contrast_set",
      "title": "Create a contrast set",
      "topics": [
        "contrast_set"
      ]
    },
    {
      "page": "contrast.fmri_meta",
      "title": "Apply Contrast to Meta-Analysis Results",
      "topics": [
        "contrast.fmri_meta"
      ]
    },
    {
      "page": "correlation_map",
      "title": "correlation_map",
      "concept": [
        "visualization"
      ],
      "topics": [
        "correlation_map",
        "correlation_map.baseline_model"
      ]
    },
    {
      "page": "correlation_map.fmri_model",
      "title": "correlation_map.fmri_model",
      "topics": [
        "correlation_map.fmri_model"
      ]
    },
    {
      "page": "create_3d_blocks",
      "title": "Create 3D Blocks for Voxelwise Analysis",
      "topics": [
        "create_3d_blocks"
      ]
    },
    {
      "page": "create_design_matrix_from_benchmark",
      "title": "Create Design Matrix from Benchmark Dataset",
      "topics": [
        "create_design_matrix_from_benchmark"
      ]
    },
    {
      "page": "design_map.fmri_model",
      "title": "Heatmap visualization of the combined fmri_model design matrix",
      "topics": [
        "design_map.fmri_model"
      ]
    },
    {
      "page": "design_matrix.convolved_term",
      "title": "Design Matrix for Convolved Terms",
      "topics": [
        "design_matrix.convolved_term"
      ]
    },
    {
      "page": "design_matrix.fmri_lm",
      "title": "Design Matrix Method for fmri_lm Objects",
      "topics": [
        "design_matrix.fmri_lm"
      ]
    },
    {
      "page": "design_matrix.fmri_model",
      "title": "Design Matrix for fMRI Models",
      "topics": [
        "design_matrix.fmri_model"
      ]
    },
    {
      "page": "design_plot",
      "title": "Design Plot for fMRI Model",
      "topics": [
        "design_plot"
      ]
    },
    {
      "page": "dvars_to_weights",
      "title": "Convert DVARS to Volume Weights",
      "topics": [
        "dvars_to_weights"
      ]
    },
    {
      "page": "engine_spec",
      "title": "Inspect a Registered Engine Specification",
      "topics": [
        "engine_spec"
      ]
    },
    {
      "page": "engine_specs",
      "title": "List Registered Engine Specifications",
      "topics": [
        "engine_specs"
      ]
    },
    {
      "page": "estimate",
      "title": "Deprecated helper: estimate()",
      "topics": [
        "estimate"
      ]
    },
    {
      "page": "estimate_betas",
      "title": "Estimate Beta Coefficients for fMRI Data",
      "concept": [
        "estimate_betas",
        "model_estimation"
      ],
      "topics": [
        "estimate_betas",
        "estimate_betas.latent_dataset"
      ]
    },
    {
      "page": "estimate_betas.fmri_dataset",
      "title": "Estimate betas using various regression methods",
      "topics": [
        "estimate_betas.fmri_dataset"
      ]
    },
    {
      "page": "estimate_betas.matrix_dataset",
      "title": "Estimate betas for a matrix dataset",
      "concept": [
        "estimate_betas"
      ],
      "topics": [
        "estimate_betas.matrix_dataset"
      ]
    },
    {
      "page": "estimate_hrf",
      "title": "Estimate hemodynamic response function (HRF) using Generalized Additive Models (GAMs)",
      "topics": [
        "estimate_hrf"
      ]
    },
    {
      "page": "evaluate_method_performance",
      "title": "Evaluate Method Performance on Benchmark Dataset",
      "topics": [
        "evaluate_method_performance"
      ]
    },
    {
      "page": "event_table.convolved_term",
      "title": "Extract event table from convolved term",
      "topics": [
        "event_table.convolved_term"
      ]
    },
    {
      "page": "extract_csv_data",
      "title": "Extract Data for Meta-Analysis from CSV",
      "topics": [
        "extract_csv_data"
      ]
    },
    {
      "page": "extract_nuisance_timeseries",
      "title": "Extract Nuisance Timeseries from Mask",
      "topics": [
        "extract_nuisance_timeseries"
      ]
    },
    {
      "page": "fit_contrasts",
      "title": "Fit Contrasts",
      "topics": [
        "fit_contrasts"
      ]
    },
    {
      "page": "fit_contrasts.default",
      "title": "Fit Contrasts for Linear Model (Default Method)",
      "topics": [
        "fit_contrasts.default"
      ]
    },
    {
      "page": "fit_contrasts.fmri_lm",
      "title": "Fit Contrasts for fMRI Linear Model Objects",
      "topics": [
        "fit_contrasts.fmri_lm"
      ]
    },
    {
      "page": "fit_glm_from_suffstats",
      "title": "Fit GLM from sufficient statistics",
      "topics": [
        "fit_glm_from_suffstats"
      ]
    },
    {
      "page": "fit_glm_on_transformed_series",
      "title": "Fit the core GLM on a transformed time-series matrix",
      "topics": [
        "fit_glm_on_transformed_series"
      ]
    },
    {
      "page": "fit_glm_with_config",
      "title": "Fit GLM with full config (AR/robust) on a transformed series",
      "topics": [
        "fit_glm_with_config"
      ]
    },
    {
      "page": "fitted_hrf",
      "title": "fitted_hrf",
      "concept": [
        "hrf"
      ],
      "topics": [
        "fitted_hrf"
      ]
    },
    {
      "page": "fitted_hrf.fmri_lm",
      "title": "Compute Fitted Hemodynamic Response Functions for an fmri_lm Object",
      "topics": [
        "fitted_hrf.fmri_lm"
      ]
    },
    {
      "page": "flip_sign",
      "title": "Flip Sign of Coefficients",
      "topics": [
        "flip_sign"
      ]
    },
    {
      "page": "fmri_benchmark_datasets",
      "title": "Benchmark fMRI datasets",
      "topics": [
        "fmri_benchmark_datasets"
      ]
    },
    {
      "page": "fmri_latent_lm",
      "title": "Fast fMRI Regression Model Estimation from a Latent Component Dataset",
      "topics": [
        "fmri_latent_lm"
      ]
    },
    {
      "page": "fmri_lm",
      "title": "Fit a Linear Regression Model for fMRI Data Analysis",
      "topics": [
        "fmri_lm",
        "fmri_lm.fmri_model",
        "fmri_lm.formula"
      ]
    },
    {
      "page": "fmri_lm_control",
      "title": "Configuration for fmri_lm fitting",
      "topics": [
        "fmri_lm_control"
      ]
    },
    {
      "page": "fmri_meta",
      "title": "Fit Group-Level Meta-Analysis",
      "topics": [
        "fmri_meta"
      ]
    },
    {
      "page": "fmri_meta_fit",
      "title": "Fit Meta-Analysis Models",
      "topics": [
        "fmri_meta_fit"
      ]
    },
    {
      "page": "fmri_meta_fit_contrasts",
      "title": "Fit Meta-Analysis Models with Exact Contrasts",
      "topics": [
        "fmri_meta_fit_contrasts"
      ]
    },
    {
      "page": "fmri_meta_fit_cov",
      "title": "Fit Meta-Analysis and return packed covariance per voxel",
      "topics": [
        "fmri_meta_fit_cov"
      ]
    },
    {
      "page": "fmri_meta_fit_extended",
      "title": "Extended Meta-Analysis Fit with Voxelwise Covariate",
      "topics": [
        "fmri_meta_fit_extended"
      ]
    },
    {
      "page": "fmri_model",
      "title": "Construct an fMRI Regression Model",
      "topics": [
        "fmri_model"
      ]
    },
    {
      "page": "fmri_ols_fit",
      "title": "OLS Fit with Optional Voxelwise Covariate",
      "topics": [
        "fmri_ols_fit"
      ]
    },
    {
      "page": "fmri_rlm",
      "title": "Fit a Robust Linear Model for fMRI Data Analysis",
      "topics": [
        "fmri_rlm"
      ]
    },
    {
      "page": "fmri_ttest",
      "title": "fmrireg t-tests for Group Analysis",
      "topics": [
        "fmri_ttest"
      ]
    },
    {
      "page": "fmrireg_cli",
      "title": "Run the fmrireg command line interface",
      "topics": [
        "fmrireg_cli"
      ]
    },
    {
      "page": "generate_interaction_contrast",
      "title": "Fast factorial contrast generators",
      "topics": [
        "generate_interaction_contrast",
        "generate_main_effect_contrast"
      ]
    },
    {
      "page": "get_benchmark_summary",
      "title": "Get Benchmark Dataset Summary",
      "topics": [
        "get_benchmark_summary"
      ]
    },
    {
      "page": "get_contrasts",
      "title": "Get Available Contrasts",
      "topics": [
        "get_contrasts"
      ]
    },
    {
      "page": "get_covariates",
      "title": "Get Covariates",
      "topics": [
        "get_covariates"
      ]
    },
    {
      "page": "get_rois",
      "title": "Get Available ROIs",
      "topics": [
        "get_rois"
      ]
    },
    {
      "page": "get_subjects",
      "title": "Get Subject IDs",
      "topics": [
        "get_subjects"
      ]
    },
    {
      "page": "glm_lss",
      "title": "GLM LSS Estimation Convenience Function (Single Trial Estimation)",
      "topics": [
        "glm_lss"
      ]
    },
    {
      "page": "glm_ols",
      "title": "GLM OLS Estimation Convenience Function",
      "topics": [
        "glm_ols"
      ]
    },
    {
      "page": "group_data",
      "title": "Create Group Dataset for Meta-Analysis",
      "topics": [
        "group_data"
      ]
    },
    {
      "page": "group_data_from_csv",
      "title": "Create Group Dataset from CSV File or Data Frame",
      "topics": [
        "group_data_from_csv"
      ]
    },
    {
      "page": "group_data_from_fmrilm",
      "title": "Create Group Dataset from fmri_lm Objects",
      "topics": [
        "group_data_from_fmrilm"
      ]
    },
    {
      "page": "group_data_from_h5",
      "title": "Create Group Dataset from HDF5 Files",
      "topics": [
        "group_data_from_h5"
      ]
    },
    {
      "page": "group_data_from_nifti",
      "title": "Create Group Dataset from NIfTI Files",
      "topics": [
        "group_data_from_nifti"
      ]
    },
    {
      "page": "hrf_smoothing_kernel",
      "title": "Compute an HRF smoothing kernel",
      "topics": [
        "hrf_smoothing_kernel"
      ]
    },
    {
      "page": "install_cli",
      "title": "Install the fmrireg command wrapper",
      "topics": [
        "install_cli"
      ]
    },
    {
      "page": "list_benchmark_datasets",
      "title": "List Available Benchmark Datasets",
      "topics": [
        "list_benchmark_datasets"
      ]
    },
    {
      "page": "load_benchmark_dataset",
      "title": "Load fMRI Benchmark Datasets",
      "topics": [
        "load_benchmark_dataset"
      ]
    },
    {
      "page": "longnames",
      "title": "Extract Long Names of Variable Levels",
      "concept": [
        "variable_names"
      ],
      "topics": [
        "longnames",
        "longnames.convolved_term",
        "longnames.event_model",
        "longnames.event_seq",
        "longnames.event_term"
      ]
    },
    {
      "page": "lowrank_control",
      "title": "Low-rank / sketch controls for fast GLM",
      "topics": [
        "lowrank_control"
      ]
    },
    {
      "page": "meta_effective_n",
      "title": "Compute Effective Sample Size for Meta-Analysis",
      "topics": [
        "meta_effective_n"
      ]
    },
    {
      "page": "meta_fit_vcov_cpp",
      "title": "Meta-regression with ONE voxelwise covariate",
      "topics": [
        "meta_fit_vcov_cpp"
      ]
    },
    {
      "page": "mixed_solve_cpp",
      "title": "Mixed Model Solver using Rcpp and roptim",
      "topics": [
        "mixed_solve_cpp"
      ]
    },
    {
      "page": "n_subjects",
      "title": "Extract Number of Subjects",
      "topics": [
        "n_subjects"
      ]
    },
    {
      "page": "ols_t_cpp",
      "title": "OLS t-test / ANCOVA across features",
      "topics": [
        "ols_t_cpp"
      ]
    },
    {
      "page": "ols_t_vcov_cpp",
      "title": "OLS with ONE voxelwise covariate",
      "topics": [
        "ols_t_vcov_cpp"
      ]
    },
    {
      "page": "p_values",
      "title": "Extract P-values from a Model Fit",
      "concept": [
        "statistical_measures"
      ],
      "topics": [
        "p_values",
        "p_values.fmri_lm"
      ]
    },
    {
      "page": "paired_diff_block",
      "title": "Helper Functions for fmri_ttest",
      "topics": [
        "paired_diff_block"
      ]
    },
    {
      "page": "print.fmri_meta",
      "title": "Print Meta-Analysis Results",
      "topics": [
        "print.fmri_meta"
      ]
    },
    {
      "page": "print",
      "title": "Print an fmri_lm_result object",
      "topics": [
        "print.fmri_lm",
        "print.fmri_model",
        "print.fmri_rlm"
      ]
    },
    {
      "page": "print.fmri_ttest_fit",
      "title": "Print method for fmri_ttest_fit",
      "topics": [
        "print.fmri_ttest_fit"
      ]
    },
    {
      "page": "print.group_data",
      "title": "Print Group Data Object",
      "topics": [
        "print.group_data"
      ]
    },
    {
      "page": "print.spatial_fdr_result",
      "title": "Print Spatial FDR Results",
      "topics": [
        "print.spatial_fdr_result"
      ]
    },
    {
      "page": "pvalues",
      "title": "Compute P-values from Meta-Analysis",
      "topics": [
        "pvalues"
      ]
    },
    {
      "page": "r_to_z",
      "title": "Convert Correlation to Fisher's Z",
      "topics": [
        "r_to_z"
      ]
    },
    {
      "page": "read_h5_full",
      "title": "Read All Data from HDF5 Files",
      "topics": [
        "read_h5_full"
      ]
    },
    {
      "page": "read_nifti_full",
      "title": "Read All Data from NIfTI Files",
      "topics": [
        "read_nifti_full"
      ]
    },
    {
      "page": "register_basis",
      "title": "Register an HRF/basis constructor",
      "topics": [
        "register_basis"
      ]
    },
    {
      "page": "register_engine",
      "title": "Register a plugin engine for 'fmri_lm'",
      "topics": [
        "register_engine"
      ]
    },
    {
      "page": "resolve_basis",
      "title": "Resolve a registered basis function by name",
      "topics": [
        "resolve_basis"
      ]
    },
    {
      "page": "se",
      "title": "Extract Standard Errors from Meta-Analysis",
      "topics": [
        "se"
      ]
    },
    {
      "page": "shortnames",
      "title": "Short Names",
      "topics": [
        "shortnames",
        "shortnames.event_model",
        "shortnames.event_term"
      ]
    },
    {
      "page": "simulate_bold_signal",
      "title": "Simulate fMRI Time Series",
      "topics": [
        "simulate_bold_signal"
      ]
    },
    {
      "page": "simulate_fmri_matrix",
      "title": "Simulate fMRI Time Courses, Return Shared Onsets + Column-Specific Amplitudes/Durations",
      "topics": [
        "simulate_fmri_matrix"
      ]
    },
    {
      "page": "simulate_noise_vector",
      "title": "Simulate fMRI Noise",
      "topics": [
        "simulate_noise_vector"
      ]
    },
    {
      "page": "simulate_simple_dataset",
      "title": "Simulate Complete fMRI Dataset",
      "topics": [
        "simulate_simple_dataset"
      ]
    },
    {
      "page": "soft_projection",
      "title": "Create Soft Projection Operator",
      "topics": [
        "soft_projection"
      ]
    },
    {
      "page": "soft_subspace_options",
      "title": "Soft Subspace Control Options",
      "topics": [
        "soft_subspace_options"
      ]
    },
    {
      "page": "soft_subspace_projection",
      "title": "Soft Subspace Projection for Nuisance Removal",
      "topics": [
        "soft_subspace_projection"
      ]
    },
    {
      "page": "spatial_fdr",
      "title": "Spatially-Aware Multiple Comparisons Correction",
      "topics": [
        "spatial_fdr"
      ]
    },
    {
      "page": "standard_error",
      "title": "Extract Standard Errors from a Model Fit",
      "concept": [
        "statistical_measures"
      ],
      "topics": [
        "standard_error",
        "standard_error.fmri_latent_lm",
        "standard_error.fmri_lm"
      ]
    },
    {
      "page": "stats",
      "title": "Extract Test Statistics from a Model Fit",
      "concept": [
        "statistical_measures"
      ],
      "topics": [
        "stats",
        "stats.fmri_lm"
      ]
    },
    {
      "page": "summary.fmri_meta",
      "title": "Summary of Meta-Analysis Results",
      "topics": [
        "summary.fmri_meta"
      ]
    },
    {
      "page": "summary.fmri_ttest_fit",
      "title": "Summary method for fmri_ttest_fit",
      "topics": [
        "summary.fmri_ttest_fit"
      ]
    },
    {
      "page": "summary.group_data",
      "title": "Summary of Group Data Object",
      "topics": [
        "summary.group_data"
      ]
    },
    {
      "page": "summary.spatial_fdr_result",
      "title": "Summary of Spatial FDR Results",
      "topics": [
        "summary.spatial_fdr_result"
      ]
    },
    {
      "page": "t_to_beta_se",
      "title": "Convert t-statistics to Effect Sizes",
      "topics": [
        "t_to_beta_se"
      ]
    },
    {
      "page": "t_to_d",
      "title": "Convert T-statistics to Effect Sizes and Variances",
      "topics": [
        "t_to_d"
      ]
    },
    {
      "page": "term_matrices.fmri_model",
      "title": "Extract term matrices from fmri_model",
      "topics": [
        "term_matrices.fmri_model"
      ]
    },
    {
      "page": "tidy",
      "title": "Tidy generic",
      "topics": [
        "tidy"
      ]
    },
    {
      "page": "tidy_fitted_hrf",
      "title": "Tidy fitted HRF curves from an fmri_lm fit",
      "topics": [
        "tidy_fitted_hrf"
      ]
    },
    {
      "page": "tidy.fmri_meta",
      "title": "Tidy Meta-Analysis Results",
      "topics": [
        "tidy.fmri_meta"
      ]
    },
    {
      "page": "volume_quality",
      "title": "Volume Quality Metrics and Temporal Weighting",
      "topics": [
        "volume_quality"
      ]
    },
    {
      "page": "volume_weights",
      "title": "Compute Volume Quality Weights from Data",
      "topics": [
        "volume_weights"
      ]
    },
    {
      "page": "welch_t_cpp",
      "title": "Welch two-sample t-test across features",
      "topics": [
        "welch_t_cpp"
      ]
    },
    {
      "page": "write_results",
      "title": "Write Results from fMRI Analysis",
      "concept": [
        "result_export"
      ],
      "topics": [
        "write_results"
      ]
    },
    {
      "page": "write_results.fmri_lm",
      "title": "Write Results from fMRI Linear Model",
      "topics": [
        "write_results.fmri_lm"
      ]
    },
    {
      "page": "write_results.fmri_meta",
      "title": "Write Meta-Analysis Results",
      "topics": [
        "write_results.fmri_meta"
      ]
    },
    {
      "page": "z_to_r",
      "title": "Back-transform Fisher's Z to Correlation",
      "topics": [
        "z_to_r"
      ]
    },
    {
      "page": "zscores",
      "title": "Compute Z-scores from Meta-Analysis",
      "topics": [
        "zscores"
      ]
    }
  ],
  "_readme": "https://github.com/bbuchsbaum/fmrireg/raw/HEAD/README.md",
  "_rundeps": [
    "askpass",
    "assertthat",
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