epigrowthfit (version 0.15.4)

coef.egf: Extract Coefficients and Random Effect Covariance Parameters

Description

Extracts the bottom level parameter vector c(beta, theta, b) or a subset. Segments beta, theta, and b contain (respectively) fixed effect coefficients, random effect covariance parameters, and random effect coefficients.

Usage

# S3 method for egf
coef(object, random = FALSE, full = FALSE, ...)

Value

A numeric vector concatenating beta, theta, and b, without b if random = FALSE and without mapped elements if full = FALSE.

Attribute len is a named integer vector partitioning the result by segment.

Attribute map is a named list of integer vectors i

such that that a full segment y and its condensed counterpart x are related by y = x[i], with the exception that i[j] is NA if y[j] is mapped to an initial value. NULL is used in place of an integer vector where x

and y are identical.

The result inherits from class coef.egf, which has methods for print, as.list, and labels.

Arguments

object

an egf object.

random

a logical. If FALSE, then segment b is excluded.

full

a logical. If FALSE, then mapped elements are excluded, and the result is called “condensed”.

...

unused optional arguments.

See Also

The generic function coef.

Examples

example("egf", package = "epigrowthfit")

for (random in c(FALSE, TRUE)) {
    for (full in c(FALSE, TRUE)) {
        cat(sprintf("random = %s, full = %s :\n\n", random, full))
        str(coef(m1, random = random, full = full))
        cat("\n")
    }
}