legendre_fit

generate curve based on legendre polynomials

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

legendre_fit function

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

Arguments

generate curve based on legendre polynomials — legendre_fit

<dl>

<dt>par</dt>
<dd>vector of legendre polynomials coefficients</dd>


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

</dl>

legendre_fit: generate curve based on legendre polynomials

Description

Usage

Value

Arguments

Examples