esa {psychonetrics}

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 <[e-mail]>

References

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