summary.lqmm: Summary for an 'lqmm' Object

In lqmm: Linear Quantile Mixed Models

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 covariance matrix of the bootstrap estimates is provided.
...	see boot.lqmm for additional arguments.

Details

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

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.

Author(s)

Marco Geraci

See Also

print.summary.lqmm lqmm

Examples

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

Example output

Call: lqmm(fixed = distance ~ age, random = ~1, group = Subject, tau = c(0.1, 
    0.5, 0.9), data = Orthodont)

tau = 0.1

Fixed effects:
                Value Std. Error lower bound upper bound  Pr(>|t|)    
(Intercept) 16.733609   0.712513   15.301761     18.1655 < 2.2e-16 ***
age          0.522199   0.075376    0.370725      0.6737 8.579e-09 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

tau = 0.5

Fixed effects:
                Value Std. Error lower bound upper bound  Pr(>|t|)    
(Intercept) 16.811968   0.708065   15.389058     18.2349 < 2.2e-16 ***
age          0.618802   0.077293    0.463476      0.7741 1.871e-10 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

tau = 0.9

Fixed effects:
                Value Std. Error lower bound upper bound  Pr(>|t|)    
(Intercept) 16.826789   0.711865   15.396243     18.2573 < 2.2e-16 ***
age          0.796190   0.084709    0.625960      0.9664 1.511e-12 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

AIC:
[1] 476.0 (df = 4) 432.2 (df = 4) 485.4 (df = 4)

lqmm documentation built on May 2, 2019, 4:46 p.m.