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.
"logLik"(object, Pars, conLin, ...)"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").object, evaluated at Pars.
gls,
glsStruct,
logLik.lme