example2

A dataset containing the myX, myY and time of almost 15 example.
 The variables are as follows:

datasets

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

example2 function

A data frame with 15 rows and 3 variables:<dl>
 <dt>myTime</dt>
<dd>timestamp of observations; the first value of the time variable must be the initial time.</dd> <dt>myX</dt>
<dd>the observed scores of variable X</dd> <dt>myY</dt>
<dd>the observed scores of variable Y</dd>
</dl>

Format

Bivariate first-order differential equation — example2

A data frame with 15 rows and 3 variables:<dl>
 <dt>myTime</dt>
<dd>timestamp of observations; the first value of the time variable must be the initial time.</dd>

 <dt>myX</dt>
<dd>the observed scores of variable X</dd>

 <dt>myY</dt>
<dd>the observed scores of variable Y</dd>


</dl>

example2: Bivariate first-order differential equation

Description

Usage

Arguments

Format