.check_optim_conv

This function is to try and prevent optimisation to a local
optimum and thus checks whether multiple optimisation routines are
consistently finding parameter values to within a set tolerance.

internal

Classes and helper functions for loading, extracting, converting,
manipulating, plotting and aggregating epidemiological parameters for infectious diseases.
Epidemiological parameters extracted from the literature are loaded from the 'epiparameterDB'
R package.

Joshua W. Lambert

epiparameter

Classes and Helper Functions for Working with Epidemiological
Parameters

Adam Kucharski

Carmen Tamayo

Hugo Gruson

Sebastian Funk

Pratik Gupte

James M. Azam

Chris Hartgerink

Tim Taylor

.check_optim_conv function

<dl><dt>optim_params_list</dt>
<dd>A list, where each element is the output of
<code><a href="/link/stats%3A%3Aoptim()?package=epiparameter&version=0.4.1" data-mini-rdoc="epiparameter::stats::optim()">stats::optim()</a></code>. See <code><a href="/link/%3Foptim?package=epiparameter&version=0.4.1" data-mini-rdoc="epiparameter::?optim">?optim</a></code> for more details.</dd>
<dt>optim_params</dt>
<dd>A list given by the output of <code><a href="/link/stats%3A%3Aoptim()?package=epiparameter&version=0.4.1" data-mini-rdoc="epiparameter::stats::optim()">stats::optim()</a></code>.</dd>
<dt>tolerance</dt>
<dd>A <code>numeric</code> specifying within which disparity convergence
of parameter estimates and function minimisation is accepted.</dd></dl>

Arguments

Check whether the optimisation of distribution parameters has converged to
stable value for the parameters and function output for multiple iterations — .check_optim_conv

<dl>

<dt>optim_params_list</dt>
<dd>A list, where each element is the output of
<code><a href='https://rdrr.io/r/stats/optim.html'>stats::optim()</a></code>. See <code><a href='https://rdrr.io/r/stats/optim.html'>?optim</a></code> for more details.</dd>


<dt>optim_params</dt>
<dd>A list given by the output of <code><a href='https://rdrr.io/r/stats/optim.html'>stats::optim()</a></code>.</dd>


<dt>tolerance</dt>
<dd>A <code>numeric</code> specifying within which disparity convergence
of parameter estimates and function minimisation is accepted.</dd>

</dl>

Check whether the optimisation of distribution parameters has converged to
stable value for the parameters and function output for multiple iterations

.check_optim_conv: Check whether the optimisation of distribution parameters has converged to stable value for the parameters and function output for multiple iterations

Description

Usage

Value

Arguments