galammObject: Class "galamm"

In galamm: Generalized Additive Latent and Mixed Models

Class "galamm"

Description

An S3 class for objects returned by galamm(). Contains information about the fitted model, random effects, parameters, and smooth terms.

Components

• call: the matched call used when fitting the model.

• random_effects: a list with:

  • b: random effects in original parametrization.

  • u: random effects standardized to have identity covariance matrix.

• model: a list containing:

  • deviance: deviance of final model.

  • deviance_residuals: deviance residuals.

  • df: degrees of freedom.

  • family: one or more family objects.

  • factor_interactions: list of formulas for latent-observed interactions.

  • fit: fitted values.

  • fit_population: fitted values excluding random effects.

  • hessian: Hessian matrix of the final model.

  • lmod: linear model object from lme4::lFormula().

  • loglik: log-likelihood of the final model.

  • n: number of observations.

  • pearson_residual: Pearson residuals.

  • reduced_hessian: logical; whether full Hessian or reduced version.

  • response: numeric vector of response values.

  • weights_object: object with weights (or NULL).

• parameters: a list with model parameters and metadata:

  • beta_inds: indices of fixed regression coefficients.

  • dispersion_parameter: dispersion parameters.

  • lambda_dummy: dummy factor loading matrix.

  • lambda_inds: indices of factor loadings.

  • lambda_interaction_inds: indices of latent-observed interactions.

  • parameter_estimates: numeric vector of parameter estimates.

  • parameter_names: names of all parameters.

  • theta_inds: indices of variance components (Cholesky entries).

  • weights_inds: indices of estimated weights.

• gam: list of smooth term info (empty list if none).

See Also

Other modeling functions: galamm(), gfam(), s(), t2()

galamm documentation built on Dec. 21, 2025, 5:07 p.m.