gamm
. Given,
$V$, an estimated covariance matrix obtained using extract.lme.cov2
this
routine forms $X^TV^{-1}X$ as efficiently as possible, given
the structure of $V$ (usually sparse).formXtViX(V,X)
extract.lme.cov2
extract.lme.cov2
may
be in a packed and re-ordered format, since it is usually sparse. Hence a
special service routine is required to form the required products involving
this matrix.lme
see:Pinheiro J.C. and Bates, D.M. (2000) Mixed effects Models in S and S-PLUS. Springer
For details of how GAMMs are set up here for estimation using lme
see:
Wood, S.N. (2004) Low rank scale invariant tensor product smooths for
Generalized Additive Mixed Models. Technical report of the statistics
department, University of Glasgow.
gamm
, extract.lme.cov2