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logLik.glsStruct

Log-Likelihood of a glsStruct Object


Description

Pars is used to update the coefficients of the model components of object 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 settings attribute of object.

Usage

## S3 method for class 'glsStruct'
logLik(object, Pars, conLin, ...)

Arguments

object

an object inheriting from class "glsStruct", representing a list of linear model components, such as corStruct and "varFunc" objects.

Pars

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

conLin

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

...

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

Value

the (restricted) log-likelihood for the linear model described by object, evaluated at Pars.

Author(s)

José Pinheiro and Douglas Bates bates@stat.wisc.edu

See Also


nlme

Linear and Nonlinear Mixed Effects Models

v3.1-152
GPL (>= 2) | file LICENCE
Authors
José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), Johannes Ranke [ctb] (varConstProp()), R-core [aut, cre]
Initial release
2021-02-03

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