summary.estimate: Summary of estimate objects

In lava: Latent Variable Models

Summary of estimate objects

Description

Computes hypothesis tests, contrasts, and small-sample corrections for an estimate object. The arguments null, contrast, type, and var.adj were previously available on estimate.default() and have been moved here.

Usage

## S3 method for class 'estimate'
summary(
  object,
  contrast,
  ...,
  null = 0,
  level = 0.95,
  type,
  var.adj = 0.25,
  df,
  transform = NULL,
  print = NULL
)

Arguments

object	an estimate object.
contrast	(optional) contrast matrix for the final Wald test. When supplied together with null, tests H_0: B\theta = b_0.
...	additional arguments passed to contr.
null	(optional) null hypothesis to test (default 0).
level	level of confidence limits (default 0.95)
type	type of small-sample correction. Requires the estimate to have been computed with IC=TRUE (the default).
var.adj	variance adjustment parameter for small-sample correction. Requires the estimate to have been computed with IC=TRUE (the default).
df	degrees of freedom for t-based inference (default: NULL for Gaussian approximation; when set, confidence intervals and p-values use the t-distribution with df degrees of freedom)
transform	(optional) function applied to the point estimates and confidence interval bounds after inference is performed on the original scale. Useful for variance-stabilizing transformations, e.g., compute CIs on the atanh (Fisher z) scale and back-transform with tanh.
print	(optional) custom print function for the resulting summary.estimate object

Details

types of small-sample corrections:

• "robust" (default): no correction.

• "df": applies n/(n-p) correction (Mancl & DeRouen, 2001).

• "mbn": Morel-Bokossa-Neerchal (2003) correction.

• "hc3": leverage-adjusted HC3-type correction (blended with var.adj).

• "hc4": Cribari-Neto (2004) leverage-adjusted correction.

The var.adj parameter controls the blending parameter for the HC3 leverage adjustment, by controls the weight between observation-level empirical leverage and the average leverage p/n.

See Also

estimate.default()

lava documentation built on Oct. 23, 2026, 1:09 a.m.