Init_func

Initialize model Judgement variables and so on.

Use numerical optimization to fit ordinary differential equations (ODEs) to time series data to examine the dynamic relationships between variables or the characteristics of a dynamical system. It can now be used to estimate the parameters of ODEs up to second order, and can also apply to multilevel systems. See <https://github.com/yueqinhu/defit> for details.

Yueqin Hu

deFit

Fitting Differential Equations to Time Series Data

Qingshan Liu

Minglan Li

Init_func function

<dl><dt>userdata</dt>
<dd>a data frame containing all model variables. The "time" column must be included.</dd>
<dt>model</dt>
<dd>a string of model.</dd>
<dt>guess</dt>
<dd>a list or a string. Guess the coefficients or initial values.</dd>
<dt>method</dt>
<dd>a list or a string. The available options are 'Nelder-Mead','L-BFGS-B','SANN' and 'BFGS'.</dd>
<dt>plot</dt>
<dd>TRUE or FALSE.</dd></dl>

Arguments

Initialize model Judgement variables and so on. — Init_func

<dl>

<dt>userdata</dt>
<dd>a data frame containing all model variables. The "time" column must be included.</dd>


<dt>model</dt>
<dd>a string of model.</dd>


<dt>guess</dt>
<dd>a list or a string. Guess the coefficients or initial values.</dd>


<dt>method</dt>
<dd>a list or a string. The available options are 'Nelder-Mead','L-BFGS-B','SANN' and 'BFGS'.</dd>


<dt>plot</dt>
<dd>TRUE or FALSE.</dd>

</dl>

Init_func: Initialize model Judgement variables and so on.

Description

Usage

Value

Arguments