G_estimate_randint

Estimates the covariance matrix G for random intercepts that occurs at Step 3
of the FUI method. A helper function for `fui`.

Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2023) <doi:10.1101/2023.11.06.565896>) for fitting functional mixed models.

Erjia Cui

fastFMM

Fast Functional Mixed Models using Fast Univariate Inference

Gabriel Loewinger

Al Xin

G_estimate_randint function

<dl><dt>data</dt>
<dd>A data frame containing all variables in formula</dd>
<dt>L</dt>
<dd>Number of columns of outcome variables</dd>
<dt>out_index</dt>
<dd>Indices that contain the outcome variables</dd>
<dt>designmat</dt>
<dd>Design matrix of the linear models</dd>
<dt>betaHat</dt>
<dd>Estimated functional fixed effects</dd>
<dt>silent</dt>
<dd>Whether to print the step description during calculations.
Defaults to `TRUE`.</dd></dl>

Arguments

Special case of estimating covariance of random components G(s1, s2) — G_estimate_randint

<dl>

<dt>data</dt>
<dd>A data frame containing all variables in formula</dd>


<dt>L</dt>
<dd>Number of columns of outcome variables</dd>


<dt>out_index</dt>
<dd>Indices that contain the outcome variables</dd>


<dt>designmat</dt>
<dd>Design matrix of the linear models</dd>


<dt>betaHat</dt>
<dd>Estimated functional fixed effects</dd>


<dt>silent</dt>
<dd>Whether to print the step description during calculations.
Defaults to `TRUE`.</dd>

</dl>

G_estimate_randint: Special case of estimating covariance of random components G(s1, s2)

Description

Usage

Value

Arguments