R: Summarize an 'asreml' object

summary.asreml {asreml} | R Documentation

## 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

`object` | An `asreml` object.
`param` | If `"sigma"`, variance components are reported on the sigma scale only; otherwise, if `"gamma"`, an additional column of variance ratios is returned (default = "sigma").
`coef` | If `TRUE`, the coefficients and their standard errors are included in the returned object (default = `FALSE`).
`vparameters` | If `TRUE`, the variance component parameters are included in the returned object in list form (default = `FALSE`).
`...` | Additional 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.

[Package asreml version 4.2.0.480 Index]