sigma.galamm: Extract square root of dispersion parameter from galamm...

In galamm: Generalized Additive Latent and Mixed Models

Extract square root of dispersion parameter from galamm object

Description

Extracts the square root of the dispersion parameter(s) from an object of class galamm, returned from galamm. In the case of conditionally Gaussian responses, this is the residual standard deviation. When there are multiple dispersion parameters, e.g., with mixed response type models, the square root of all of them are returned in a numeric vector.

Usage

## S3 method for class 'galamm'
sigma(object, ...)

Arguments

object	An object of class galamm, returned from galamm.
...	Optional parameters passed on to other methods. Currently not used.

Value

The square root of one or more dispersion parameters.

See Also

galamm()

Other details of model fit: VarCorr(), coef.galamm(), confint.galamm(), deviance.galamm(), factor_loadings.galamm(), family.galamm(), fitted.galamm(), fixef(), formula.galamm(), llikAIC(), logLik.galamm(), nobs.galamm(), predict.galamm(), print.VarCorr.galamm(), ranef.galamm(), residuals.galamm(), response(), vcov.galamm()

Examples

# Linear mixed model with heteroscedastic residuals
mod <- galamm(
  formula = y ~ x + (1 | id),
  weights = ~ (1 | item),
  data = hsced
)

# Extract residual standard deviation.
sigma(mod)

# The residual standard deviation applies to the base case. The variance
# function shown in the model output shows the estimated multiplier for
# various grouping levels:
summary(mod)

galamm documentation built on June 8, 2025, 12:42 p.m.