argument_coverage       Argument-by-argument validation coverage
as.data.frame.glasso_path_result
                        Tidy a graphical-lasso path
as.data.frame.glasso_result
                        Tidy a graphical-lasso fit
as_netobject            Coerce to a netobject
as_netobject.gvar_result
                        Coerce a gvar_result to plottable netobjects
as_netobject.net_gimme
                        Plottable netobject(s) from a GIMME fit
as_netobject.net_mlvar
                        Plottable netobjects from an mlVAR fit
as_netobject.var_bayes_result
                        Coerce a var_bayes_result to plottable
                        netobjects
coefs.idioml_result     Tidy coefficients from a fitted mlvar model
compare_idiographic     Compare idiographic estimators on one dataset
edges.net_usem          Tidy edge table for any idiographic result
equivalence             Report method-equivalence evidence
equivalence_table       Package-wide equivalence and validation ledger
esm_srl                 Momentary self-regulated-learning
                        experience-sampling data
estimate_stability      Estimate edge stability by block resampling
                        (experimental)
estimator_info          Inspect a registered estimator
extract_edges           Tidy edge table from a network object
fit_gimme               GIMME: Group Iterative Multiple Model
                        Estimation
fit_graphical_var       Graphical VAR Estimation
fit_graphical_var_each
                        Fit a graphical VAR for every subject
fit_idiographic         Fit an idiographic model through the unified
                        interface
fit_ml                  Fit idiographic supervised machine-learning
                        models
fit_mlvar               Build a Multilevel Vector Autoregression
                        (mlVAR) network
fit_mlvar_bayes         Build a Bayesian multilevel VAR network (Mplus
                        DSEM-targeted)
fit_mlvar_mplus         Build an Mplus-backed multilevel VAR network
fit_rolling_graphical_var
                        Estimate rolling-window graphical VAR networks
fit_rolling_var         Estimate rolling-window ordinary VAR networks
fit_usem                Build a user-specified unified SEM network
fit_var                 Build an ordinary least-squares VAR network
fit_var_bayes           Build a Bayesian VAR(1) network (unregularized,
                        Mplus-targeted)
fit_var_each            Fit an ordinary least-squares VAR for every
                        subject
get_estimator           Get a registered estimator function
glasso_fit              Fit a graphical lasso at a fixed penalty
glasso_kkt              Certify a graphical-lasso solution from its
                        optimality conditions
glasso_path             Fit a graphical lasso over a path of penalties
idiographic-package     idiographic: Idiographic Network Estimation
                        from Intensive Longitudinal Data
list_estimators         Registered idiographic estimators
matrices                Print model matrices for idiographic results
nodes.net_usem          Tidy per-node strength table for any
                        idiographic result
plot_gimme              Faithful GIMME network plot (the
                        'gimme'-package convention, via cograph)
plot_idiographic        Plot an idiographic network result
predict.idioml_result   Predict from an idiographic ML result
preprocess              Preprocess and audit idiographic time-series
                        data
print.forecast_result   Print method for forecast validation results
print.glasso_path_result
                        Print a graphical-lasso path
print.glasso_result     Print a graphical-lasso fit
print.gvar_list         Print a list of per-subject graphical VARs
print.gvar_result       Print Method for gvar_result
print.idioml_result     Print method for idiographic ML fits
print.model_comparison
                        Print method for model comparisons
print.net_gimme         Print Method for net_gimme
print.net_mlvar         Print method for net_mlvar
print.net_mlvar_bayes   Print method for net_mlvar_bayes
print.net_usem          Print method for uSEM fits
print.preprocess_result
                        Print method for preprocessing results
print.rolling_gvar_result
                        Print method for rolling graphical VAR results
print.rolling_var_result
                        Print method for rolling VAR results
print.stability_result
                        Print method for stability results
print.var_bayes_result
                        Print method for var_bayes_result
print.var_list          Print a list of per-subject ordinary VARs
print.var_result        Print method for ordinary VAR fits
register_estimator      Register an idiographic estimator or workflow
remove_estimator        Remove a registered estimator
srl                     Self-regulated learning intensive longitudinal
                        data (Chapter 20)
summary.gvar_result     Summary Method for gvar_result
summary.idioml_result   Summary method for idiographic ML fits
summary.net_gimme       Summary Method for net_gimme
summary.net_mlvar       Summary method for net_mlvar
summary.net_usem        Summary method for uSEM fits
summary.preprocess_result
                        Summary method for preprocessing results
summary.var_bayes_result
                        Summary method for var_bayes_result
summary.var_result      Summary method for ordinary VAR fits
validate_forecast       Validate one-step forecasts from idiographic
                        VAR models (experimental)
