mgcv: Sl.initial.repara – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Sl.initial.repara

Re-parametrizing model matrix X

Description

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.

Usage

Sl.inirep(Sl,X,l,r,nt=1)

Sl.initial.repara(Sl, X, inverse = FALSE, both.sides = TRUE, cov = TRUE,
  nt = 1)

Arguments

`Sl`	the output of `Sl.setup`.
`X`	the model matrix.
`l`	if non-zero apply transform (positive) or inverse transform from left. 1 or -1 of transform, 2 or -2 for transpose.
`r`	if non-zero apply transform (positive) or inverse transform from right. 1 or -1 of transform, 2 or -2 for transpose.
`inverse`	if `TRUE` an inverse re-parametrization is performed.
`both.sides`	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).
`cov`	boolean indicating whether `X` is a covariance matrix.
`nt`	number of parallel threads to be used.

Value

A re-parametrized version of X.

Author(s)

Simon N. Wood <simon.wood@r-project.org>.

mgcv

Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

v1.8-35

GPL (>= 2)

Authors

Simon Wood <simon.wood@r-project.org>

Initial release