vcov.galamm: Calculate variance-covariance matrix for GALAMM fit

In galamm: Generalized Additive Latent and Mixed Models

Calculate variance-covariance matrix for GALAMM fit

Description

Calculate variance-covariance matrix for GALAMM fit

Usage

## S3 method for class 'galamm'
vcov(object, parm = "beta", ...)

Arguments

object	Object of class galamm returned from galamm.
parm	The parameters for which the variance-covariance matrix should be calculated. Character vector with one or more of the elements "theta", "beta", "lambda", and "weights". Can also be an integer vector. When given as a character, it must be in only lowercase letters.
...	Further arguments passed on to other methods. Currently not used.

Value

A variance-covariance matrix.

See Also

confint.galamm() for the method computing confidence intervals. See vcov() for the generic function.

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(), sigma.galamm()

Examples

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

# Extract covariance matrix for fixed regression coefficients
vcov(mod, parm = "beta")

# and then for weights, which gives us the variance.
vcov(mod, parm = "weights")

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