# Person-Specific (Idiographic) and Heterogeneous Complex Networks

## Documentation for package ‘idiographic’ version 0.3.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A C E F G I L M N P R S V

idiographic-package | idiographic: Idiographic Network Estimation from Intensive Longitudinal Data

## -- A --

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

## -- C --

coefs | Tidy coefficients from a fitted mlvar model
coefs.default | Tidy coefficients from a fitted mlvar model
coefs.gvar_list | Tidy coefficients from a fitted mlvar model
coefs.gvar_result | Tidy coefficients from a fitted mlvar model
coefs.idioml_result | Tidy coefficients from a fitted mlvar model
coefs.net_gimme | Tidy coefficients from a fitted mlvar model
coefs.net_mlvar | Tidy coefficients from a fitted mlvar model
coefs.net_mlvar_bayes | Tidy coefficients from a fitted mlvar model
coefs.net_usem | Tidy coefficients from a fitted mlvar model
coefs.var_bayes_result | Tidy coefficients from a fitted mlvar model
coefs.var_list | Tidy coefficients from a fitted mlvar model
coefs.var_result | Tidy coefficients from a fitted mlvar model
compare_idiographic | Compare idiographic estimators on one dataset

## -- E --

edges | Tidy edge table for any idiographic result
edges.gvar_list | Tidy edge table for any idiographic result
edges.gvar_result | Tidy edge table for any idiographic result
edges.netobject | Tidy edge table for any idiographic result
edges.netobject_group | Tidy edge table for any idiographic result
edges.net_gimme | Tidy edge table for any idiographic result
edges.net_mlvar | Tidy edge table for any idiographic result
edges.net_usem | Tidy edge table for any idiographic result
edges.var_list | Tidy edge table for any idiographic result
edges.var_result | 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

## -- F --

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_idiographic_ml | Fit idiographic supervised machine-learning models
fit_individualized_ml | Fit idiographic supervised machine-learning models
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

## -- G --

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

## -- I --

idiographic | idiographic: Idiographic Network Estimation from Intensive Longitudinal Data

## -- L --

list_estimators | Registered idiographic estimators

## -- M --

matrices | Print model matrices for idiographic results
matrices.cograph_network | Print model matrices for idiographic results
matrices.default | Print model matrices for idiographic results
matrices.gvar_list | Print model matrices for idiographic results
matrices.gvar_result | Print model matrices for idiographic results
matrices.model_comparison | Print model matrices for idiographic results
matrices.netobject | Print model matrices for idiographic results
matrices.netobject_group | Print model matrices for idiographic results
matrices.net_gimme | Print model matrices for idiographic results
matrices.net_mlvar | Print model matrices for idiographic results
matrices.net_usem | Print model matrices for idiographic results
matrices.preprocess_result | Print model matrices for idiographic results
matrices.rolling_gvar_result | Print model matrices for idiographic results
matrices.rolling_var_result | Print model matrices for idiographic results
matrices.stability_result | Print model matrices for idiographic results
matrices.var_list | Print model matrices for idiographic results
matrices.var_result | Print model matrices for idiographic results

## -- N --

nodes | Tidy per-node strength table for any idiographic result
nodes.gvar_list | Tidy per-node strength table for any idiographic result
nodes.gvar_result | Tidy per-node strength table for any idiographic result
nodes.netobject | Tidy per-node strength table for any idiographic result
nodes.netobject_group | Tidy per-node strength table for any idiographic result
nodes.net_gimme | Tidy per-node strength table for any idiographic result
nodes.net_mlvar | Tidy per-node strength table for any idiographic result
nodes.net_usem | Tidy per-node strength table for any idiographic result
nodes.var_list | Tidy per-node strength table for any idiographic result
nodes.var_result | Tidy per-node strength table for any idiographic result

## -- P --

plot.gvar_list | Plot an idiographic network result
plot.gvar_result | Plot an idiographic network result
plot.net_gimme | Plot an idiographic network result
plot.net_mlvar | Plot an idiographic network result
plot.net_usem | Plot an idiographic network result
plot.rolling_gvar_result | Plot an idiographic network result
plot.rolling_var_result | Plot an idiographic network result
plot.stability_result | Plot an idiographic network result
plot.var_bayes_result | Plot an idiographic network result
plot.var_list | Plot an idiographic network result
plot.var_result | Plot an idiographic network 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

## -- R --

register_estimator | Register an idiographic estimator or workflow
remove_estimator | Remove a registered estimator

## -- S --

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

## -- V --

validate_forecast | Validate one-step forecasts from idiographic VAR models (experimental)