summary.hlm: Summary method for 'hlm' objects.
In mlysy/hlm: Inference for a Heteroscedastic Linear Model

Description Usage Arguments Value

View source: R/hlm_methods.R

Summary method for hlm objects.

## S3 method for class 'hlm'
summary(object, correlation = FALSE,
  symbolic.cor = FALSE, ...)

## S3 method for class 'summary.hlm'
print(x, digits = max(3L, getOption("digits") -
  3L), symbolic.cor = x$symbolic.cor,
  signif.stars = getOption("show.signif.stars"), ...)

`object`	An object of class `hlm`.
`correlation`	If `TRUE`, calculate the correlation matrix of the estimated parameters.
`symbolic.cor`	If `TRUE`, print correlations in symbolic form (see `stats::symnum`.
`...`	Further arguments passed to or from other methods.
`x`	An object of class `summary.hlm`.
`digits`	The number of significant digits to use when printing.
`signif.stars`	If `TRUE`, significance stars are printed for each coefficient.

A list with elements:

call: The call issuing the HLM object.
terms: The terms component from object.
df.residual: The component from object.
coefficients: List of two matrices of coefficients, standard errors, z-values, and p-values.
cov.unscaled: Estimated covariance matrix of the estimated coefficients.
correlation: If correlation = TRUE, the estimate correlations between the estimated coefficients.
symbolic.cor: If correlation = TRUE, the value of symbolic.cor.
aic: The AIC statistic.
iter: The component from object.
na.action: The component from object.