Additional 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 lcc
summary(object, type, ...)an object inheriting from class lcc, representing a fitted longitudinal concordance correlation function.
an optional character string specifying the type of output to be returned. If type="model", prints the summary of the polynomial mixed-effects regression model. If type="lcc", prints the summary of the fitted and sampled values for LCC, LPC, and LA as well as the concordance correlation coefficient between fitted LCC values and sampled values as goodness of fit (gof). Defaults to type="lcc".
not used.
an object inheriting from class summary.lcc including:
the fitted values extracted from the lcc object.
the sampled values extracted from the lcc object.
goodness of fit value based on concordance correlation coefficient between fitted and sampled values.
Lin, L. A Concordance Correlation Coefficient to Evaluate Reproducibility. Biometrics, 45, n. 1, 255-268, 1989.
Oliveira, T.P.; Hinde, J.; Zocchi S.S. Longitudinal Concordance Correlation Function Based on Variance Components: An Application in Fruit Color Analysis. Journal of Agricultural, Biological, and Environmental Statistics, v. 23, n. 2, 233<U+2013>254, 2018.
lcc.
# NOT RUN {
data(hue)
## Second degree polynomial model with random intercept, slope and
## quadratic term
fm1<-lcc(dataset = 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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