get_biSAD1

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_biSAD1 function

<dl><dt>par</dt>
<dd>vector with four number, first two for ck and the rest for stress</dd>
<dt>n1</dt>
<dd>scalar indicate length of time1</dd>
<dt>n2</dt>
<dd>scalar indicate length of time2</dd></dl>

Arguments

generate biSAD1 covariance matrix — get_biSAD1

<dl>

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


<dt>n1</dt>
<dd>scalar indicate length of time1</dd>


<dt>n2</dt>
<dd>scalar indicate length of time2</dd>

</dl>

get_biSAD1: generate biSAD1 covariance matrix

Description

Usage

Value

Arguments

Examples