# esa: Ergodic Subspace Analysis In psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis

 esa R Documentation

## Ergodic Subspace Analysis

### Description

These functions implement Ergodic Subspace Analysis by von Oertzen, Schmiedek and Voelkle (2020). The functions can be used on the output of a `dlvm1` model, or manually by supplying a within persons and between persons variance-covariance matrix.

### Usage

``````esa(x, cutoff = 0.1,
between = c("crosssection", "between"))
esa_manual(sigma_wp, sigma_bp, cutoff = 0.1)
## S3 method for class 'esa'
print(x, printref = TRUE, ...)
## S3 method for class 'esa_manual'
print(x, printref = TRUE, ...)
## S3 method for class 'esa'
plot(x, plot = c("observed", "latent"), ...)
## S3 method for class 'esa_manual'
plot(x,  ...)
``````

### Arguments

 `x` Output of a `dlvm1` model `sigma_wp` Manual within-person variance-covariance matrix `sigma_bp` Manual between-person variance-covariance matrix `cutoff` Cutoff used to determine ergodicity `printref` Logical, should the reference be printed? `plot` Should ergodicity of observed or latent variables be plotted? `between` Should the between-persons variance-covariance matrix be based on exected cross-sectional or between-person relations `...` Not used

### Value

For each group a `esa_manual` object with the following elements:

 `ergodicity` Ergodicity values of each component `Q_esa` Component loadings `V_bp` Between persons subspace `V_ergodic` Ergodic subspace `V_wp` Within person subspace `cutoff` Cutoff value used

### Author(s)

Sacha Epskamp <mail@sachaepskamp.com>

### References

von Oertzen, T., Schmiedek, F., and Voelkle, M. C. (2020). Ergodic Subspace Analysis. Journal of Intelligence, 8(1), 3.

psychonetrics documentation built on June 22, 2024, 10:29 a.m.