f_sum

Internal function used compute a sum in FPCA-based covariance updates

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

f_sum function

<dl><dt>mu.q.c</dt>
<dd>current value of mu.q.c</dd>
<dt>sig.q.c</dt>
<dd>current value of sig.q.c</dd>
<dt>theta</dt>
<dd>spline basis</dd>
<dt>obspts.mat</dt>
<dd>matrix indicating the points on which data is observed</dd></dl>

Arguments

Jeff Goldsmith <a href="/link/ajg2202%40cumc.columbia.edu?package=refund&version=0.1-37" data-mini-rdoc="refund::ajg2202@cumc.columbia.edu">ajg2202@cumc.columbia.edu</a>

Author

Sum computation 1 — f_sum

<dl>

<dt>mu.q.c</dt>
<dd>current value of mu.q.c</dd>


<dt>sig.q.c</dt>
<dd>current value of sig.q.c</dd>


<dt>theta</dt>
<dd>spline basis</dd>


<dt>obspts.mat</dt>
<dd>matrix indicating the points on which data is observed</dd>

</dl>

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

Sum computation 1

f_sum: Sum computation 1

Description

Usage

Arguments

Author