Structural Equation Modeling and Confirmatory Network Analysis

Documentation for package ‘psychonetrics’ version 0.15

Help Pages

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
apply_beta_min	Automated Lambda Selection for Penalized Estimation

-- B --

bifactor	Bi-factor models
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
compute_lambda_max	Automated Lambda Selection for Penalized Estimation
compute_penalized_ebic	Automated Lambda Selection for Penalized Estimation
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
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
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

-- 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 constrains
groupfree	Group equality constrains
gvar	Lag-1 vector autoregression family of psychonetrics models

-- I --

-- J --

Jonas dataset

-- L --

latentgrowth	Latnet 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_var1	Meta-analytic VAR(1) model
meta_varcov	Variance-covariance and GGM meta analysis
MIs	Print modification indices
ml_gvar	Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data
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 dynamic latent variable model family of psychonetrics models for time-series data
modelsearch	Stepwise model search

-- N --

Network Analysis 2020 Self-Report Data

-- P --

panelgvar	Lag-1 dynamic latent variable model family of psychonetrics models for panel data
panellvgvar	Lag-1 dynamic latent variable model family of psychonetrics models for panel data
panelvar	Lag-1 dynamic latent variable model family of psychonetrics models for panel data
panel_lvgvar	Lag-1 dynamic latent variable model family of psychonetrics models for panel data
parameters	Print parameter estimates
parequal	Set equality constrains 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
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"'
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_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"'
simplestructure	Generate factor loadings matrix with simple structure
StarWars	Star Wars dataset
stepup	Stepup model search along modification indices

-- T --

transmod	Transform between model types
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
usecpp	Convenience functions

-- V --

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

-- W --

Write comprehensive model output to a text file