getmasd

This code is based on Dr. Gavin Simpson's blog post https://fromthebottomoftheheap.net/2016/12/15/simultaneous-interval-revisited/.

internal

Meta-analysis of generalized additive
models and generalized additive mixed models. A typical use case is
when data cannot be shared across locations, and an overall meta-analytic
fit is sought. 'metagam' provides functionality for removing individual
participant data from models computed using the 'mgcv' and 'gamm4' packages such
that the model objects can be shared without exposing individual data.
Furthermore, methods for meta-analysing these fits are provided. The implemented
methods are described in Sorensen et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>,
extending previous works by Schwartz and Zanobetti (2000)
and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.

Oystein Sorensen

metagam

Meta-Analysis of Generalized Additive Models

Andreas M. Brandmaier

Athanasia Mo Mowinckel

getmasd function

<dl><dt>mod</dt>
<dd>Object of class "striprawdata", returned from <code>strip_rawdata</code>.</dd>
<dt>newdat</dt>
<dd>Grid of values over which to create a simultaneous confidence interval.</dd>
<dt>nsim</dt>
<dd>Number of Monte Carlo samples.</dd>
<dt>term</dt>
<dd>Character vector of smooth terms.</dd></dl>

Arguments

Get maximum of the absolute standard deviations — getmasd

<dl>

<dt>mod</dt>
<dd>Object of class "striprawdata", returned from <code>strip_rawdata</code>.</dd>


<dt>newdat</dt>
<dd>Grid of values over which to create a simultaneous confidence interval.</dd>


<dt>nsim</dt>
<dd>Number of Monte Carlo samples.</dd>


<dt>term</dt>
<dd>Character vector of smooth terms.</dd>

</dl>

getmasd: Get maximum of the absolute standard deviations

Description

Usage

Value

Arguments