get_mu2

generate mean vectors with ck and stress condition

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

get_mu2 function

<dl><dt>par</dt>
<dd>vector with ten number, first five for ck and the rest for stress</dd>
<dt>times</dt>
<dd>vector of time point</dd></dl>

Arguments

generate mean vectors with ck and stress condition — get_mu2

<dl>

<dt>par</dt>
<dd>vector with ten number, first five for ck and the rest for stress</dd>


<dt>times</dt>
<dd>vector of time point</dd>

</dl>

get_mu2: generate mean vectors with ck and stress condition

Description

Usage

Value

Arguments

Examples