summary.mlmm: Summary of Multiple Linear Mixed Models

In bozenne/repeated: Repeated Measurement Models for Discrete Times

Summary of Multiple Linear Mixed Models

Description

Estimates, p-values, and confidence intevals for multiple linear mixed models.

Usage

## S3 method for class 'mlmm'
summary(
  object,
  digits = 3,
  method = NULL,
  print = NULL,
  hide.data = FALSE,
  hide.fit = FALSE,
  ...
)

Arguments

object	an mlmm object, output of mlmm.
digits	[integer,>0] number of digits used to display numeric values.
method	[character] type of adjustment for multiple comparisons, one of "none", "bonferroni", ..., "fdr", "single-step", "single-step2". and/or method(s) to pool the estimates, one of "average", "pool.se", "pool.gls", "pool.gls1", "pool.rubin".
print	[logical] should the output be printed in the console. Can be a vector of length 2 where the first element refer to the global tests and the second to the individual tests.
hide.data	[logical] should information about the dataset not be printed.
hide.fit	[logical] should information about the model fit not be printed.
...	other arguments are passed to summary.Wald_lmm.

bozenne/repeated documentation built on July 16, 2025, 11:16 p.m.