lqmm (version 1.02)

summary.lqmm: Summary for an lqmm Object

Description

Summary method for class lqmm.

Usage

## S3 method for class 'lqmm':
summary(object, method = "boot", alpha = 0.05, covariance = FALSE, ...)

Arguments

object

an object of class lqmm.

method

specifies the method used to compute standard errors. Currently, only the bootstrap method ("boot") is available.

alpha

significance level.

covariance

logical flag. If TRUE the bootstrapped variance-covariance matrix is provided.

...

see boot.lqmm for additional arguments.

Value

• an object of class summary.lqmm. The function summary.lqmm computes and returns a list of summary statistics of the fitted linear quantile mixed model given in object, using the components (list elements) from its argument, plus
• Cov
  the covariance matrix obtained from the bootstrapped estimates (if covariance = TRUE).
• tTable
  a matrix with estimates, standard errors, etc.
• B
  the matrix of all bootstrapped parameters.

Details

print.summary.lqmm formats the coefficients, standard errors, etc. and additionally gives `significance stars'.

See Also

print.summary.lqmm lqmm

Examples

data(Orthodont)
fitOi.lqmm <- lqmm(distance ~ age, random = ~ 1, group = Subject,
	iota = c(0.1,0.5,0.9), data = Orthodont)
summary(fitOi.lqmm)