build_matrix_spec       Build Design Matrix Specification
build_scenario_table    Reconstruct scenario-level multipliers used to
                        build W
canonical.multivar      Canonical VAR Fitting Function for multivar
compute_ebic            Compute EBIC for an array of fitted coefficient
                        matrices
constructModel          Construct an object of class multivar
cv.multivar             Cross Validation for multivar
cv_blocked              Blocked Cross-Validation for multivar
cv_multivar             Cross-Validation Dispatcher for multivar
dat_multivar_sim        Simulated multi-VAR data.
estimate_initial_coefs
                        Estimate initial coefficients for adaptive
                        weights
eval_multivar_performance
                        Summarize multivar performance against
                        simulation truth (robust to missing parts)
expand_range            Expand Column Range to Indices
extract_multivar_hyperparams
                        Extract hyperparameter grid search results
get_common_cols         Get Common Effect Columns
get_common_tvp_cols     Get Common TVP Columns for a Period
get_dynamics_helpers    Helper Functions for Accessing multivar Results
get_n_periods           Get Number of Periods in TVP Model
get_period_rows         Get Row Range for a Subject's Period
get_subgrp_cols         Get Subgroup Effect Columns
get_subgrp_cols_for_subject
                        Get Subgroup Columns for a Subject
get_subject_rows        Get Row Range for a Subject
get_unique_cols         Get Unique Effect Columns for a Subject
get_unique_tvp_cols     Get Unique TVP Columns for a Subject and Period
is_tvp                  Check if Model is Time-Varying
lambda_grid             Build the lambda1 path (one column per penalty
                        scenario)
maity_debiasing         Maity et al. (2022) MrLasso-style initial
                        estimation
multivar-class          multivar object class
multivar-package        multivar: Penalized Estimation of
                        Multiple-Subject Vector Autoregressive Models
multivar_fit_methods    S3 Methods for multivar_fit Objects
multivar_sim            Simulate multivar data.
multivar_sim_breaks     Simulate multivar data with time-varying
                        dynamics according to a latent growth curve.
multivar_sim_growth     Simulate multivar data with time-varying
                        dynamics according to a latent growth curve.
multivar_sim_subgroups
                        Simulate multivar data with explicit subgroup
                        structure
multivar_sim_tvp        Simulate multivar TVP data (piecewise or
                        continuous)
plot_cv_lambda_grid     Plot CV error over (lambda1, lambda2)
plot_results            Plot fitted multivar model results
plot_sim                Plot simulated multivar ground truth
plot_transition_mat     Plot arbitrary transition matrix
pretrained_var_stage1_glmnet
                        Stage 1 (glmnet): common block only, with
                        optional per-equation intercepts
print.matrix_spec       Print method for matrix_spec
print_dynamics          Print dynamics matrix with clear formatting
print_dynamics_tvp      Print time-varying dynamics (TVP models)
print_edge_prevalence   Print edge prevalence across subjects
recover_intercepts      Recover Intercepts from Centered Data
select_by_ebic          Reselect best model using (E)BIC instead of
                        MSFE
show.multivar           Default show method for an object of class
                        multivar
summary_multivar        Summary for multivar fit objects
validate_matrix_spec    Validate Matrix Specification
var_sim_tvp             Simulate a time-varying VAR model (piecewise or
                        continuous)
