get_legendre_par

use legendre polynomials to fit a given data

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_legendre_par function

<dl><dt>y</dt>
<dd>vector equal to the y observed data(in this case generic effect)</dd>
<dt>legendre_order</dt>
<dd>scalar of legendre polynomials</dd>
<dt>x</dt>
<dd>vector equal to the x value for legendre polynomials(in this case times)</dd></dl>

Arguments

use legendre polynomials to fit a given data — get_legendre_par

<dl>

<dt>y</dt>
<dd>vector equal to the y observed data(in this case generic effect)</dd>


<dt>legendre_order</dt>
<dd>scalar of legendre polynomials</dd>


<dt>x</dt>
<dd>vector equal to the x value for legendre polynomials(in this case times)</dd>

</dl>

get_legendre_par: use legendre polynomials to fit a given data

Description

Usage

Value

Arguments

Examples