Info_func

Calculate R-squared RMSE SE 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

Info_func function

<dl><dt>solve_data</dt>
<dd>a list data, that is a solve of differential equations.</dd>
<dt>userdata</dt>
<dd>a data frame containing all model variables. The "time" column must be included.</dd>
<dt>predict</dt>
<dd>predict data.</dd>
<dt>var_model</dt>
<dd>a dataframe containing equations.</dd>
<dt>table</dt>
<dd>outtable.</dd></dl>

Arguments

Calculate R-squared RMSE SE and so on. — Info_func

<dl>

<dt>solve_data</dt>
<dd>a list data, that is a solve of differential equations.</dd>


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


<dt>predict</dt>
<dd>predict data.</dd>


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


<dt>table</dt>
<dd>outtable.</dd>

</dl>

Info_func: Calculate R-squared RMSE SE and so on.

Description

Usage

Value

Arguments