setParallel

By default, the package will use multithreading for many calculations if OpenMP is 
available on the system. For multi-user systems this may not be desired, so parallel
execution can be disabled with this function.

Specification, analysis, simulation, and fitting of generalised linear mixed models.
Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models,
non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily,
robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.

Sam Watson

glmmrBase

Generalised Linear Mixed Models in R

setParallel function

<dl><dt>parallel_</dt>
<dd>Logical indicating whether to use parallel computation (TRUE) or disable it (FALSE)</dd>
<dt>cores_</dt>
<dd>Number of cores for parallel execution</dd></dl>

Arguments

Disable or enable parallelised computing — setParallel

<dl>

<dt>parallel_</dt>
<dd>Logical indicating whether to use parallel computation (TRUE) or disable it (FALSE)</dd>


<dt>cores_</dt>
<dd>Number of cores for parallel execution</dd>

</dl>

setParallel: Disable or enable parallelised computing

Description

Usage

Value

Arguments