Description Usage Arguments Details Value Author(s) See Also Examples
Summary method for class lqmm
.
1 2 |
object |
an object of |
method |
specifies the method used to compute standard errors. Currently, only the bootstrap method ("boot") is available. |
alpha |
significance level. |
covariance |
logical flag. If |
... |
see |
print.summary.lqmm
formats the coefficients, standard errors, etc. and additionally gives ‘significance stars’.
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 |
tTable |
a matrix with estimates, standard errors, etc. |
B |
the matrix of all bootstrapped parameters. |
Marco Geraci
1 2 3 4 |
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)
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