summary.lcc: Summarize an lcc object

Description

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.

Usage

# S3 method for lcc
summary(object, type, ...)

Arguments

object

an object inheriting from class lcc, representing a fitted longitudinal concordance correlation function.

type

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.

Value

an object inheriting from class summary.lcc including:

fitted

the fitted values extracted from the lcc object.

sampled

the sampled values extracted from the lcc object.

gof

goodness of fit value based on concordance correlation coefficient between fitted and sampled values.

References

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.

Examples

Run this code

# 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")
# }