VarCorr function

Extract variance and correlation components from model

Extract variance and correlation components from model

## S3 method for class 'galamm' VarCorr(x, sigma = 1, ...)

Arguments

  • x: An object of class galamm returned from galamm.
  • sigma: Numeric value used to multiply the standard deviations. Defaults to 1.
  • ...: Other arguments passed onto other methods. Currently not used.

Returns

An object of class c("VarCorr.galamm", "VarCorr.merMod").

Examples

# Linear mixed model with heteroscedastic residuals mod <- galamm( formula = y ~ x + (1 | id), weights = ~ (1 | item), data = hsced ) # Extract information on variance and covariance VarCorr(mod) # Convert to data frame # (this invokes lme4's function as.data.frame.VarCorr.merMod) as.data.frame(VarCorr(mod))

See Also

print.VarCorr.galamm() for the print function.

Other details of model fit: 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(), sigma.galamm(), vcov.galamm()