logLik.glsStruct

an object inheriting from class <code>"<a rd-options="" href="/link/glsStruct?package=nlme&version=3.1-144" data-mini-rdoc="nlme::glsStruct">glsStruct</a>"</code>,
 representing a list of linear model components, such as
 <code>corStruct</code> and <code>"<a rd-options="" href="/link/varFunc?package=nlme&version=3.1-144" data-mini-rdoc="nlme::varFunc">varFunc</a>"</code> objects.

object

the parameter values at which the (restricted)
 log-likelihood is to be evaluated.

Pars

an optional condensed linear model object, consisting of
 a list with components <code>"Xy"</code>, corresponding to a regression
 matrix (<code>X</code>) combined with a response vector (<code>y</code>), and 
 <code>"logLik"</code>, corresponding to the log-likelihood of the
 underlying linear model. Defaults to <code>attr(object, "conLin")</code>.

conLin

some methods for this generic require additional
 arguments. None are used in this method.

&#8230;

<code>Pars</code> is used to update the coefficients of the model components
 of <code>object</code> and the individual (restricted) log-likelihood
 contributions of each component are added together. The type of
 log-likelihood (restricted or not) is determined by the
 <code>settings</code> attribute of <code>object</code>.

models

Fit and compare Gaussian linear and nonlinear mixed-effects models.

R-core R-core@R-project.org

nlme

Linear and Nonlinear Mixed Effects Models

Jos<c3><a9> Pinheiro

Douglas Bates

Saikat DebRoy

Deepayan Sarkar

EISPACK authors 

Siem Heisterkamp

Bert Van Willigen

R-core 

logLik.glsStruct function

an object inheriting from class <code>"<a rd-options='' href='glsStruct'>glsStruct</a>"</code>,
 representing a list of linear model components, such as
 <code>corStruct</code> and <code>"<a rd-options='' href='varFunc'>varFunc</a>"</code> objects.

logLik.glsStruct: Log-Likelihood of a glsStruct Object

Description

Usage

Arguments

Value

See Also