Xt_siginv_X

Internal function used compute the products
`(X otimes Theta)^t (I otimes Sigma^-1) (X otimes Theta)`
and
`(X otimes Theta)^t (I otimes Sigma^-1) (y)`
in cross-sectional VB algorithm and Gibbs sampler

Methods for regression for functional
data, including function-on-scalar, scalar-on-function, and
function-on-function regression. Some of the functions are applicable to
image data.

Julia Wrobel

refund

Regression with Functional Data

Jeff Goldsmith

Fabian Scheipl

Lei Huang

Chongzhi Di

Jonathan Gellar

Jaroslaw Harezlak

Bruce Swihart

Luo Xiao

Ciprian Crainiceanu

Yakuan Chen

Sonja Greven

Lan Huo

So Young Park

Ana-Maria Staicu

Erjia Cui

Ruonan Li

Zheyuan Li

Xt_siginv_X function

<dl><dt>tx</dt>
<dd>transpose of the X design matrix</dd>
<dt>siginv</dt>
<dd>inverse variance matrix</dd>
<dt>y</dt>
<dd>outcome matrix. if <code>NULL</code>, function computes
first product; if not, function computes second product.</dd></dl>

Arguments

Jeff Goldsmith <a href="/link/ajg2202%40cumc.columbia.edu?package=refund&version=0.1-31" data-mini-rdoc="refund::ajg2202@cumc.columbia.edu">ajg2202@cumc.columbia.edu</a>

Author

Internal computation function — Xt_siginv_X

<dl>

<dt>tx</dt>
<dd>transpose of the X design matrix</dd>


<dt>siginv</dt>
<dd>inverse variance matrix</dd>


<dt>y</dt>
<dd>outcome matrix. if <code>NULL</code>, function computes
first product; if not, function computes second product.</dd>

</dl>

Jeff Goldsmith <a href='mailto:ajg2202@cumc.columbia.edu'>ajg2202@cumc.columbia.edu</a>

Internal computation function

Xt_siginv_X: Internal computation function

Description

Usage

Arguments

Author