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.
esa(x, cutoff = 0.1,
between = c("crosssection", "between"))
esa_manual(sigma_wp, sigma_bp, cutoff = 0.1)
# S3 method for esa
print(x, printref = TRUE, ...)
# S3 method for esa_manual
print(x, printref = TRUE, ...)
# S3 method for esa
plot(x, plot = c("observed", "latent"), ...)
# S3 method for esa_manual
plot(x, ...)For each group a esa_manual object with the following elements:
Ergodicity values of each component
Component loadings
Between persons subspace
Ergodic subspace
Within person subspace
Cutoff value used
Output of a dlvm1 model
Manual within-person variance-covariance matrix
Manual between-person variance-covariance matrix
Cutoff used to determine ergodicity
Logical, should the reference be printed?
Should ergodicity of observed or latent variables be plotted?
Should the between-persons variance-covariance matrix be based on exected cross-sectional or between-person relations
Not used
Sacha Epskamp <mail@sachaepskamp.com>
von Oertzen, T., Schmiedek, F., and Voelkle, M. C. (2020). Ergodic Subspace Analysis. Journal of Intelligence, 8(1), 3.