Solver_BiFirst_func

Solver of bivariate first-order differential equation

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

Solver_BiFirst_func function

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

Arguments

Solver of bivariate first-order differential equation — Solver_BiFirst_func

<dl>

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


<dt>var_model</dt>
<dd>a dataframe containing equations.</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>

</dl>

Solver_BiFirst_func: Solver of bivariate first-order differential equation

Description

Usage

Value

Arguments