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, ...)"lmeStruct",
representing a list of linear mixed-effects model components, such as
reStruct, corStruct, and varFunc objects."Xy", corresponding to a regression
matrix (X) combined with a response vector (y), and
"logLik", corresponding to the log-likelihood of the
underlying lme model. Defaults to attr(object, "conLin").object, evaluated at Pars.
lme,
lmeStruct,
logLik.lme