Summarize an asreml object

Description

A summary method for objects inheriting from class asreml.

Usage

## S3 method for class 'asreml'
summary(
  object,
  param = c("sigma", "gamma"),
  coef = FALSE,
  vparameters = FALSE,
  ...
)

Arguments

Value

A list of class summary.asreml with the following components:

• call: The call component from object.

• loglik: The log-likelihood value, loglik component, from object.

• nedf: The nedf component from object.

• sigma: The square of the residual variance, sqrt(object$sigma2).

• varcomp: A data frame summarizing the random parameter vector (object$vparameters). Variance component ratios are included if param = "gamma", and a measure of precision (standard error) is included along with boundary constraints at termination and the percentage change in the final iteration.

• aic: Akaike information criterion for the fitted model.

• bic: Bayesian information criterion for the fitted model.

• distribution: A character string identifying the error distribution(s) if object$deviance != 0.

• link: A character string identifying the link function(s) if object$deviance != 0.

• deviance: The deviance from the fit if object$deviance != 0.

• heterogeneity: Variance heterogeneity (calculated as deviance/nedf) if object$deviance != 0.

• coef.fixed: A matrix of coefficients (solutions) and their standard errors for fixed effects if coef = TRUE.

• coef.random: A matrix of coefficients (solutions) and their standard errors for random effects if coef = TRUE.

• coef.sparse: A matrix of coefficients (solutions) and their standard errors for fixed effects included in the sparse set if coef = TRUE.

• vparameters: A list of variance structures with matrices converted to full dense form. For ante and chol models the components are given in varcomp and returned in gammas in variance-covariance form.