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psychonetrics (version 0.4)

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

1,167

Version

0.4

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

December 17th, 2019

Functions in psychonetrics (0.4)

compare

Model comparison
bootstrap

Bootstrap a psychonetrics model
StarWars

Star Wars dataset
MIs

Print modification indices
changedata

Change the data of a psychonetrics object
bifactor

Bi-factor models
duplicationMatrix

Model matrices used in derivatives
dlvm1

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

Convenience functions
fit

Print fit indices
getVCOV

Obtain the asymptotic covariance matrix
groupequal

Group equality constrains
psychonetrics_update

Model updating functions
parameters

Print parameter estimates
generate

Generate data from a fitted psychonetrics object
fixpar

Parameters modification
unionmodel

Unify models across groups
tsdlvm1

Lag-1 dynamic latent variable model family of psychonetrics models for time-series data
modelsearch

Stepwise model search
lvm

Continuous latent variable family of psychonetrics models
psychonetrics-class

Class "psychonetrics"
psychonetrics-package

psychonetrics
varcov

Variance-covariance family of psychonetrics models
var1

Lag-1 vector autoregression family of psychonetrics models
parequal

Set equality constrains across parameters
prune

Stepdown model search by pruning non-significant parameters.
latentgrowth

Latnet growth curve model
stepup

Stepup model search along modification indices
runmodel

Run a psychonetrics model
getmatrix

Extract an estimated matrix