Man pages for idiographic
Person-Specific (Idiographic) and Heterogeneous Complex Networks
| argument_coverage | Argument-by-argument validation coverage |
| 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 | Tidy coefficients from a fitted mlvar model |
| compare_idiographic | Compare idiographic estimators on one dataset |
| edges | 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,... |
| fit_var_each | Fit an ordinary least-squares VAR for every subject |
| get_estimator | Get a registered estimator function |
| idiographic-package | idiographic: Idiographic Network Estimation from Intensive... |
| list_estimators | Registered idiographic estimators |
| matrices | Print model matrices for idiographic results |
| nodes | Tidy per-node strength table for any idiographic result |
| plot_gimme | Faithful GIMME network plot (the 'gimme'-package convention,... |
| 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.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... |
| 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... |
