# Structural Equation Modeling and Confirmatory Network Analysis

## Documentation for package ‘psychonetrics’ version 0.16.9

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C D E F G I J L M N P R S T U V W

psychonetrics-package | Structural Equation Modeling and Confirmatory Network Analysis

## -- A --

addfit | Model updating functions
addMIs | Model updating functions
addSEs | Model updating functions
aggregate_bootstraps | Aggregate Bootstrapped Models
allequal | Constrain all elements of a matrix equal within groups

## -- B --

bifactor | Bi-factor models
BlumeCapel | Blume-Capel model
bootstrap | Bootstrap a psychonetrics model

## -- C --

changedata | Change the data of a psychonetrics object
checkFisher | Diagnostic functions
checkJacobian | Diagnostic functions
cholesky | Variance-covariance family of psychonetrics models
CIplot | Plot Analytic Confidence Intervals
compare | Model comparison
corr | Variance-covariance family of psychonetrics models
covML | Maximum likelihood covariance estimate
covMLtoUB | Maximum likelihood covariance estimate
covUBtoML | Maximum likelihood covariance estimate

## -- D --

diagonalizationMatrix | Model matrices used in derivatives
dlvm | Lag-1 dynamic latent variable model family of psychonetrics models for panel data
dlvm1 | Lag-1 dynamic latent variable model family of psychonetrics models for panel data
duplicationMatrix | Model matrices used in derivatives

## -- E --

eliminationMatrix | Model matrices used in derivatives
emergencystart | Reset starting values to simple defaults
equalityScoreTest | Score (Lagrange Multiplier) test for cross-group equality constraints
esa | Ergodic Subspace Analysis
esa_manual | Ergodic Subspace Analysis

## -- F --

factorscores | Compute factor scores
find_penalized_lambda | Automated Lambda Selection for Penalized Estimation
fit | Print fit indices
fixpar | Parameters modification
fixstart | Attempt to Fix Starting Values
freepar | Parameters modification
fromlavaan | Convert a lavaan model to a psychonetrics lvm

## -- G --

generate | Generate data from a fitted psychonetrics object
getmatrix | Extract an estimated matrix
getVCOV | Obtain the asymptotic covariance matrix
ggm | Variance-covariance family of psychonetrics models
groupequal | Group equality constraints
groupfree | Group equality constraints
gvar | Lag-1 vector autoregression family of psychonetrics models

## -- I --

identify | Model updating functions
intersectionmodel | Unify models across groups
Ising | Ising model

## -- J --

Jonas | Jonas dataset

## -- L --

latentgrowth | Latent growth curve model
lnm | Continuous latent variable family of psychonetrics models
logbook | Retrieve the psychonetrics logbook
loop_psychonetrics | Parallel loop for psychonetrics
lrnm | Continuous latent variable family of psychonetrics models
lvm | Continuous latent variable family of psychonetrics models

## -- M --

meta_ggm | Variance-covariance and GGM meta analysis
meta_gvar | Meta-analytic VAR(1) model
meta_lvm | Meta-analytic latent variable model
meta_var | Meta-analytic VAR(1) model
meta_var1 | Meta-analytic VAR(1) model
meta_varcov | Variance-covariance and GGM meta analysis
MIs | Print modification indices
ml_corr | Multi-level variance-covariance family of psychonetrics models
ml_ggm | Multi-level variance-covariance family of psychonetrics models
ml_gvar | Multi-level lag-1 vector auto-regression family (random intercepts)
ml_gvar1 | Multi-level lag-1 vector auto-regression family (random intercepts)
ml_lnm | Multi-level latent variable model family
ml_lrnm | Multi-level latent variable model family
ml_lvm | Multi-level latent variable model family
ml_rnm | Multi-level latent variable model family
ml_tsdlvm1 | Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data
ml_ts_lvgvar | Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data
ml_var | Multi-level lag-1 vector auto-regression family (random intercepts)
ml_var1 | Multi-level lag-1 vector auto-regression family (random intercepts)
ml_varcov | Multi-level variance-covariance family of psychonetrics models
modelsearch | Stepwise model search

## -- N --

NA2020 | Network Analysis 2020 Self-Report Data

## -- P --

panelgvar | Lag-1 panel vector autoregression family of psychonetrics models
panellvgvar | Lag-1 dynamic latent variable model family of psychonetrics models for panel data
panelvar | Lag-1 panel vector autoregression family of psychonetrics models
panel_lvgvar | Lag-1 dynamic latent variable model family of psychonetrics models for panel data
parameters | Print parameter estimates
parequal | Set equality constraints across parameters
partialprune | Partial pruning of multi-group models
penalize | Penalized Maximum Likelihood Functions
penaltyVector | Penalized Maximum Likelihood Functions
plot.esa | Ergodic Subspace Analysis
plot.esa_manual | Ergodic Subspace Analysis
prec | Variance-covariance family of psychonetrics models
precision | Variance-covariance family of psychonetrics models
print.esa | Ergodic Subspace Analysis
print.esa_manual | Ergodic Subspace Analysis
print.psychonetrics_compare | Model comparison
print.ri_clpm_search | Random intercept cross-lagged panel models
prune | Stepdown model search by pruning non-significant parameters
psychonetrics | Structural Equation Modeling and Confirmatory Network Analysis
psychonetrics-class | Class '"psychonetrics"'
psychonetrics_bootstrap-class | Class '"psychonetrics_bootstrap"'
psychonetrics_log-class | Class '"psychonetrics_log"'
psychonetrics_samplestats-class | Class '"psychonetrics"'

## -- R --

refit | Penalized Maximum Likelihood Functions
resid-method | Class '"psychonetrics"'
residuals-method | Class '"psychonetrics"'
ri_clpm | Random intercept cross-lagged panel models
ri_clpm_search | Random intercept cross-lagged panel models
ri_clpm_stationary | Random intercept cross-lagged panel models
rnm | Continuous latent variable family of psychonetrics models
runmodel | Run a psychonetrics model

## -- S --

sessionInfo-class | Class '"psychonetrics"'
setestimator | Convenience functions
setoptimizer | Convenience functions
setverbose | Should messages of computation progress be printed?
show-method | Class '"psychonetrics"'
show-method | Class '"psychonetrics_bootstrap"'
show-method | Class '"psychonetrics_log"'
simplestructure | Generate factor loadings matrix with simple structure
StarWars | Star Wars dataset
stepup | Stepup model search along modification indices
summary-method | Class '"psychonetrics"'

## -- T --

tolavaan | Convert a psychonetrics lvm to a lavaan model
transmod | Transform between model types
tsdlvm | Lag-1 dynamic latent variable model family of psychonetrics models for time-series data
tsdlvm1 | Lag-1 dynamic latent variable model family of psychonetrics models for time-series data
ts_lvgvar | Lag-1 dynamic latent variable model family of psychonetrics models for time-series data

## -- U --

unionmodel | Unify models across groups
unpenalize | Penalized Maximum Likelihood Functions
update_baseline | Set a custom baseline or saturated reference model
update_saturated | Set a custom baseline or saturated reference model
usecpp | Convenience functions

## -- V --

var1 | Lag-1 vector autoregression family of psychonetrics models
varcov | Variance-covariance family of psychonetrics models

## -- W --

write_psychonetrics | Write comprehensive model output to a text file