Sl.initial.repara

the output of <code>Sl.setup</code>.

if <code>TRUE</code> an inverse re-parametrization is performed.

inverse

if <code>inverse==TRUE</code> and <code>both.sides==FALSE</code> then
the re-parametrization only applied to rhs, as appropriate for a choleski factor.
If <code>both.sides==FALSE</code>, <code>X</code> is a vector and <code>inverse==FALSE</code> then <code>X</code> is
taken as a coefficient vector (so re-parametrization is inverse of that for the model matrix).

both.sides

boolean indicating whether <code>X</code> is a covariance matrix.

number of parallel threads to be used.

INTERNAL routine to apply initial Sl re-parameterization to model matrix X,
or, if <code>inverse==TRUE</code>, to apply inverse re-parametrization to parameter vector 
or covariance matrix.

Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar. Includes a gam()
function, a wide variety of smoothers, JAGS support and
distributions beyond the exponential family.

Sl.initial.repara: Re-parametrizing model matrix X

Description

Usage

Arguments

Value