summary.lcc | R Documentation |
lcc
ObjectAdditional information about the fit of longitudinal
concordance correlation, longitudinal Pearson correlation, and
longitudinal accuracy represented by an object of class
lcc
. The returned object has a
print
method.
## S3 method for class 'lcc'
summary(object, type, adjustSigma, verbose, ...)
object |
an object inheriting from class
|
type |
an optional character string specifying the type of
output to be returned. If |
adjustSigma |
an optional logical value used when |
verbose |
an optional logical value used to control the amount
of output in the |
... |
not used. |
an object inheriting from class summary.lcc
including:
fitted |
the fitted values extracted from the
|
gof |
the goodness of fit (gof) measurement is calculated using the concordance correlation coefficient between fitted and observed values. Value of 1 denote perfect concordance. |
AIC |
the Akaike Information Criterion corresponding to object. |
BIC |
the Bayesian Information Criterion corresponding to object. |
logLik |
If |
Thiago de Paula Oliveira, thiago.paula.oliveira@alumni.usp.br
AIC
, BIC
,
print.summary.lcc
, lcc
## Second degree polynomial model with random intercept, slope and
## quadratic term
fm1<-lcc(data = hue, subject = "Fruit", resp = "H_mean",
method = "Method", time = "Time", qf = 2, qr = 2)
summary(fm1, type="model")
summary(fm1, type="lcc")
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