lqmm (version 1.04)

summary.lqm: Summary for an lqm Object

Description

Summary method for class lqm.

Usage

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

Arguments

object

an object of class lqm

alpha

significance level.

covariance

logical flag. If TRUE the covariance matrix of the bootstrap estimates is provided.

...

see boot.lqm for additional arguments.

Value

• an object of class summary.lqm. The function summary.lqm 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.

Details

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

See Also

print.summary.lqm lqm

Examples

set.seed(12356)
n <- 200
p <- 1:3/4
test <- data.frame(x = runif(n,0,1))
test$y <- 30 + test$x + rnorm(n)
fit.lqm <- lqm(y ~ x, data = test, tau = p)
summary(fit.lqm, R = 50)