summary.glht2 {lavaSearch2}

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.