summary.clme: Produce summary values for objects of class 'clme'

In CLME: Constrained Inference for Linear Mixed Effects Models

Description

Summarizes the output of objects of class clme, such as those produced by clme.

Usage

## S3 method for class 'clme'
summary(object, nsim = 1000, seed = NULL, verbose = c(FALSE, FALSE), ...)

Arguments

object	an object of class clme.
nsim	the number of bootstrap samples to use for inference.
seed	the value for the seed of the random number generator.
verbose	vector of logicals. First element will print progress for bootstrap test, second element is passed to the EM algorithm for every bootstrap sample.
...	additional arguments passed to other functions.

Value

The output of summary.clme is an object of the class summary.clme. This is a list containing the input object (of class clme), along with elements:

p.value	p-value for the global hypothesis
p.value.ind	p-values for each of the constraints

See Also

CLME-package clme

Examples

## Not run: 
  set.seed( 42 )
  data( rat.blood )
  cons <- list(order = "simple", decreasing = FALSE, node = 1 )
  clme.out <- clme(mcv ~ time + temp + sex + (1|id), data = rat.blood , 
                   constraints = cons, seed = 42, nsim = 10)
  
  summary( clme.out )

## End(Not run)

CLME documentation built on July 8, 2020, 5:49 p.m.