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psychonetrics (version 0.13)

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

770

Version

0.13

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

June 20th, 2024

Functions in psychonetrics (0.13)

duplicationMatrix

Model matrices used in derivatives

Model comparison

Bi-factor models

aggregate_bootstraps

Aggregate Bootstrapped Models

Maximum likelihood covariance estimate

Star Wars dataset

Plot Analytic Confidence Intervals

Diagnostic functions

Attempt to Fix Starting Values

Generate data from a fitted psychonetrics object

psychonetrics_update

Model updating functions

simplestructure

Generate factor loadings matrix with simple structure

Should messages of computation progress be printed?

Print parameter estimates

Print modification indices

Ergodic Subspace Analysis

Convenience functions

Variance-covariance and GGM meta analysis

Multi-level latent variable model family

Lag-1 vector autoregression family of psychonetrics models

Variance-covariance family of psychonetrics models

Print fit indices

Stepdown model search by pruning non-significant parameters.

Parameters modification

psychonetrics-class

Class "psychonetrics"

Compute factor scores

Obtain the asymptotic covariance matrix

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

Reset starting values to simple defaults

Continuous latent variable family of psychonetrics models

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

Retrieve the psychonetrics logbook

Stepwise model search

Bootstrap a psychonetrics model

Change the data of a psychonetrics object

Extract an estimated matrix

psychonetrics-package

tools:::Rd_package_title("psychonetrics")

psychonetrics_bootstrap-class

Class "psychonetrics_bootstrap"

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

Run a psychonetrics model

Group equality constrains

psychonetrics_log-class

Class "psychonetrics"

Unify models across groups

Latnet growth curve model

Set equality constrains across parameters

Stepup model search along modification indices

Partial pruning of multi-group models

Transform between model types