coef.egf {epigrowthfit} | R Documentation |
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 class 'egf'
coef(object, random = FALSE, full = FALSE, ...)
Arguments
object |
an |
random |
a logical. If |
full |
a logical. If |
... |
unused optional arguments. |
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
.
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")
}
}