INTERNAL routine to apply initial Sl re-parameterization to model matrix X,
or, if inverse==TRUE, to apply inverse re-parametrization to parameter vector
or covariance matrix.
Sl.inirep(Sl,X,l,r,nt=1)Sl.initial.repara(Sl, X, inverse = FALSE, both.sides = TRUE, cov = TRUE,
nt = 1)
the output of Sl.setup.
the model matrix.
if non-zero apply transform (positive) or inverse transform from left. 1 or -1 of transform, 2 or -2 for transpose.
if non-zero apply transform (positive) or inverse transform from right. 1 or -1 of transform, 2 or -2 for transpose.
if TRUE an inverse re-parametrization is performed.
if inverse==TRUE and both.sides==FALSE then
the re-parametrization only applied to rhs, as appropriate for a choleski factor.
If both.sides==FALSE, X is a vector and inverse==FALSE then X is
taken as a coefficient vector (so re-parametrization is inverse of that for the model matrix).
boolean indicating whether X is a covariance matrix.
number of parallel threads to be used.
A re-parametrized version of X.