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psychonetrics (version 0.17.8)

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

3,608

Version

0.17.8

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

August 4th, 2026

Functions in psychonetrics (0.17.8)

Change the data of a psychonetrics object

Bi-factor models

Reset starting values to simple defaults

Maximum likelihood covariance estimate

Bootstrap a psychonetrics model

Convenience functions

Model comparison

Diagnostic functions

equalityScoreTest

Score (Lagrange Multiplier) test for cross-group equality constraints

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

Parameters modification

Obtain the asymptotic covariance matrix

Ergodic Subspace Analysis

Convert a lavaan model to a psychonetrics lvm

Attempt to Fix Starting Values

Print fit indices

find_penalized_lambda

Automated Lambda Selection for Penalized Estimation

Extract an estimated matrix

Generate data from a fitted psychonetrics object

Compute factor scores

Group equality constraints

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

Retrieve the psychonetrics logbook

Latent growth curve model

Meta-analytic VAR(1) model

Meta-analytic latent variable model

Variance-covariance and GGM meta analysis

Continuous latent variable family of psychonetrics models

loop_psychonetrics

Parallel loop for psychonetrics

Multi-level latent variable model family

Print parameter estimates

Set equality constraints across parameters

Multi-level lag-1 vector auto-regression family (random intercepts)

psychonetrics_update

Model updating functions

Stepwise model search

Penalized Maximum Likelihood Functions

Partial pruning of multi-group models

plot.psychonetrics

Plot the networks of a psychonetrics model

Multi-level variance-covariance family of psychonetrics models

Lag-1 panel vector autoregression family of psychonetrics models

Should messages of computation progress be printed?

Stepdown model search by pruning non-significant parameters

simplestructure

Generate factor loadings matrix with simple structure

psychonetrics_bootstrap-class

Class "psychonetrics_bootstrap"

psychonetrics_log-class

Class "psychonetrics_log"

Stepup model search along modification indices

Run a psychonetrics model

psychonetrics-package

tools:::Rd_package_title("psychonetrics")

Random intercept cross-lagged panel models and networks

psychonetrics-class

Class "psychonetrics"

Variance-covariance family of psychonetrics models

Convert a psychonetrics lvm to a lavaan model

update_baseline_saturated

Set a custom baseline or saturated reference model

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

Lag-1 vector autoregression family of psychonetrics models

write_psychonetrics

Write comprehensive model output to a text file

Unify models across groups

Transform between model types

Print modification indices

Plot Analytic Confidence Intervals

Blume-Capel model

Star Wars dataset

Constrain all elements of a matrix equal within groups

Network Analysis 2020 Self-Report Data

aggregate_bootstraps

Aggregate Bootstrapped Models

duplicationMatrix

Model matrices used in derivatives