lamleout-class: Class "lamleout"

In lamle: Maximum Likelihood Estimation of Latent Variable Models

Class "lamleout"

Description

Output for an estimated generalized linear latent variable model.

Objects from the Class

Objects can be created by calls of the form new("lamleout", ...).

Slots

Data

A list containing the supplied data (y, group) and information about the data (N, m).

Estimates

A list with parameter estimates (par, partable), standard errors (separ), mode estimates (map), covariance/information matrices (acov, Amat, Bmat), and various other quantities and objects derived from the parameter estimates (loadings, covmat, mu, modelpars, modelpartsoptC).

Model

A list containing model definitions (model, covstruct, modeltype), constraints (groupequal, parequal, parfix), estimation settings (method, accuracy) and filters.

Optim

A list containing the log-likelihood (loglik, logliki), gradient (grad, gradi), AIC, BIC, parameter estimate history (partrace), gradient history (glltrace), number of iterations (iter), and function call (call).

Timing

A data frame containing timing information of data preparation (prep), estimation (est) and post-estimation computations (se).

Author(s)

[e-mail]

See Also

lamle

Examples

showClass("lamleout")

lamle documentation built on Aug. 25, 2023, 9:07 a.m.