power_equation_fit

use power equation to fit given dataset

Most existing approaches for network reconstruction can only infer an overall network
and, also, fail to capture a complete set of network properties. To address these issues,
a new model has been developed, which converts static data into their 'dynamic' form.
'idopNetwork' is an 'R' interface to this model, it can inferring informative, dynamic,
omnidirectional and personalized networks. For more information on functional
clustering part, see Kim et al. (2008) <doi:10.1534/genetics.108.093690>,
Wang et al. (2011) <doi:10.1093/bib/bbr032>. For more information on our model,
see Chen et al. (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022)
<doi:10.1080/19490976.2022.2106103>.

Ang Dong

idopNetwork

A Network Tool to Dissect Spatial Community Ecology

power_equation_fit function

<dl><dt>data</dt>
<dd>cleaned dataframe</dd>
<dt>n</dt>
<dd>scales for how many interpolation needed</dd>
<dt>trans</dt>
<dd>indicate log/log2/log10 transform dataset</dd>
<dt>thread</dt>
<dd>scales for how many thread used</dd></dl>

Arguments

use power equation to fit given dataset — power_equation_fit

<dl>

<dt>data</dt>
<dd>cleaned dataframe</dd>


<dt>n</dt>
<dd>scales for how many interpolation needed</dd>


<dt>trans</dt>
<dd>indicate log/log2/log10 transform dataset</dd>


<dt>thread</dt>
<dd>scales for how many thread used</dd>

</dl>

power_equation_fit: use power equation to fit given dataset

Description

Usage

Value

Arguments