summary.glht2: Outcome of Linear Hypothesis Testing

In lavaSearch2: Tools for Model Specification in the Latent Variable Framework

Outcome of Linear Hypothesis Testing

Description

Estimates, p-values, and confidence intevals for linear hypothesis testing, possibly adjusted for multiple comparisons.

Usage

## S3 method for class 'glht2'
summary(
  object,
  confint = TRUE,
  conf.level = 0.95,
  transform = NULL,
  seed = NULL,
  rowname.rhs = TRUE,
  ...
)

Arguments

object	a glht2 object.
confint	[logical] should confidence intervals be output
conf.level	[numeric 0-1] level of the confidence intervals.
transform	[function] function to backtransform the estimates, standard errors, null hypothesis, and the associated confidence intervals (e.g. exp if the outcomes have been log-transformed).
seed	[integer] value that will be set before adjustment for multiple comparisons to ensure reproducible results. Can also be NULL: in such a case no seed is set.
rowname.rhs	[logical] when naming the hypotheses, add the right-hand side (i.e. "X1-X2=0" instead of "X1-X2").
...	argument passed to multcomp:::summary.glht, e.g. argument test to choose the type of adjustment for multiple comparisons.

lavaSearch2 documentation built on April 12, 2023, 12:33 p.m.