summary.mlmm: Summary of Multiple Linear Mixed Models

In LMMstar: 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", "single-step", "single-step2".
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.

LMMstar documentation built on Nov. 9, 2023, 1:06 a.m.