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psychonetrics (version 0.9)

Structural Equation Modeling and Confirmatory Network Analysis

Description

Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data . Allows for confirmatory testing and fit as well as exploratory model search.

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Version

Install

install.packages('psychonetrics')

Monthly Downloads

610

Version

0.9

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

February 23rd, 2021

Functions in psychonetrics (0.9)

compare

Model comparison
duplicationMatrix

Model matrices used in derivatives
bootstrap

Bootstrap a psychonetrics model
Ising

Ising model
Jonas

Jonas dataset
setestimator

Convenience functions
MIs

Print modification indices
bifactor

Bi-factor models
changedata

Change the data of a psychonetrics object
StarWars

Star Wars dataset
getVCOV

Obtain the asymptotic covariance matrix
generate

Generate data from a fitted psychonetrics object
fixpar

Parameters modification
parameters

Print parameter estimates
parequal

Set equality constrains across parameters
getmatrix

Extract an estimated matrix
esa

Ergodic Subspace Analysis
emergencystart

Reset starting values to simple defaults
psychonetrics_update

Model updating functions
psychonetrics-package

psychonetrics
modelsearch

Stepwise model search
psychonetrics-class

Class "psychonetrics"
covML

Maximum likelihood covariance estimate
meta_varcov

Variance-covariance and GGM meta analysis
dlvm1

Lag-1 dynamic latent variable model family of psychonetrics models for panel data
lvm

Continuous latent variable family of psychonetrics models
groupequal

Group equality constrains
latentgrowth

Latnet growth curve model
stepup

Stepup model search along modification indices
simplestructure

Generate factor loadings matrix with simple structure
runmodel

Run a psychonetrics model
setverbose

Should messages of computation progress be printed?
varcov

Variance-covariance family of psychonetrics models
var1

Lag-1 vector autoregression family of psychonetrics models
fit

Print fit indices
factorscores

Compute factor scores
ml_lvm

Multi-level latent variable model family
partialprune

Partial pruning of multi-group models
prune

Stepdown model search by pruning non-significant parameters.
ml_tsdlvm1

Multi-level 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
unionmodel

Unify models across groups