summary.egf: Model Summaries

Description

Summarizes fitted values of top level nonlinear model parameters and gathers diagnostic information that can be used to quickly assess convergence of the optimizer.

Usage

# S3 method for egf
summary(object, ...)

Value

A list inheriting from class summary.egf, with elements:

fitted: a numeric matrix. Each column is the result of applying summary.default to a numeric vector listing the fitted values of a top level nonlinear model parameters. Fitted values are retrieved by fitted.egf.
convergence: an integer code returned by the optimizer, with 0 indicating successful convergence within the specified absolute or relative tolerance.
value, gradient: numeric vectors giving the value and gradient of the negative log marginal likelihood function at the parameter vector returned by the optimizer.
hessian: a logical flag indicating whether the Hessian matrix of the negative log marginal likelihood function is positive definite at the parameter vector returned by the optimizer. NA means that the matrix was not computed by egf, either because se = TRUE was not passed in the function call or because an error was thrown during computation.

Arguments

object: an egf object.
...: additional arguments passed from or to other methods.

Examples

Run this code

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

zz <- summary(m1)
str(zz)

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